{"meta":{"query_hash":"9483da7d0c8f","filters":{"venue":"ITE journal"},"cohort_total":29,"direct_labels_cover":0,"predictions_cover":29,"exported":29,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/9483da7d0c8f","api":"https://metacan.xera.ac/api/v1/cohort?venue=ITE+journal"},"results":[{"id":"W1473805171","doi":"","title":"Come Hell or High Water: An Account of the Alberta, Canada Flood of 2013","year":2013,"lang":"en","type":"article","venue":"ITE journal","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Flood myth; Thursday; Archaeology; Geography; History","score_opus":0.004657546290917318,"score_gpt":0.19018620195242633,"score_spread":0.185528655661509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1473805171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959062,0.000015386777,0.000014674171,0.0018534516,0.0003957156,0.00014752574,0.0000027900285,0.000001813154,0.0016624632],"genre_scores_gemma":[0.993175,0.00009412763,0.000258583,0.00025169662,0.000046680292,0.0000031212146,0.000001233232,0.000007291386,0.006162231],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99896437,0.000045999404,0.0002546914,0.00008956312,0.00043842808,0.00020695454],"domain_scores_gemma":[0.9995268,0.000017963128,0.00013949141,0.00021706543,0.00001569239,0.00008299467],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015716332,0.00008608686,0.00012413245,0.000017238672,0.00009377114,0.000029589799,0.00041898453,0.000022684411,0.009064256],"category_scores_gemma":[0.000004247815,0.000040152776,0.000039576476,0.000068470996,0.00006057742,0.00030012315,0.00018383721,0.00011280892,0.000060662813],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009810988,0.0009426688,0.3887999,0.000085039275,0.0003106866,0.000031224627,0.0023398977,0.01662727,0.0757574,0.00024984925,0.49430883,0.020449117],"study_design_scores_gemma":[0.00096980267,0.00023716837,0.8475541,0.000040278042,0.000077446464,0.00003647841,0.00058602693,0.0011980897,0.023643678,0.00063104095,0.12477821,0.00024771396],"about_ca_topic_score_codex":0.8667253,"about_ca_topic_score_gemma":0.83492595,"teacher_disagreement_score":0.45875415,"about_ca_system_score_codex":0.000106763124,"about_ca_system_score_gemma":0.00003784196,"threshold_uncertainty_score":0.9918416},"labels":[],"label_agreement":null},{"id":"W1555021975","doi":"","title":"Vancouver's Transportation Innovations","year":2009,"lang":"en","type":"article","venue":"ITE journal","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gateway (web page); Transport engineering; Transit (satellite); Procurement; Business; Geography; Engineering; Public transport; Computer science; Marketing","score_opus":0.013792049856771448,"score_gpt":0.2100362415820782,"score_spread":0.19624419172530674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555021975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96321434,0.00003306519,0.0013148644,0.0026720834,0.0009716417,0.000047430814,0.0000024664064,0.00007169469,0.031672392],"genre_scores_gemma":[0.99348605,0.000009027783,0.00015619711,0.0041466667,0.0017945489,6.0678406e-7,0.000013390013,0.000006158679,0.00038735723],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99946946,7.7123525e-7,0.0002367123,0.000062619154,0.00007730501,0.00015311349],"domain_scores_gemma":[0.9997246,0.0000031444406,0.0001400269,0.00005537252,0.00006781385,0.00000901464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011364755,0.00007123464,0.000085109175,0.00019442497,0.00016935768,0.00015119476,0.000092307135,0.000028211689,0.00031556928],"category_scores_gemma":[0.0000048593397,0.00006589106,0.000054597138,0.00021112157,0.000011181021,0.001294324,0.0000010818081,0.00011928583,0.00009548573],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012905763,0.00032674725,0.17143346,0.00005333395,0.00009948678,0.000096890624,0.0008981943,0.0029733304,0.0034115273,0.16751261,0.4958364,0.15722896],"study_design_scores_gemma":[0.00036828377,0.0000054326943,0.5596188,0.000014447349,0.000023052487,0.0000035780795,0.00010274165,0.00014461916,0.000019894474,0.018700235,0.42088354,0.000115411254],"about_ca_topic_score_codex":0.00004904351,"about_ca_topic_score_gemma":0.0004344754,"teacher_disagreement_score":0.38818532,"about_ca_system_score_codex":0.000015698799,"about_ca_system_score_gemma":0.000013694688,"threshold_uncertainty_score":0.34552622},"labels":[],"label_agreement":null},{"id":"W1557660147","doi":"","title":"Past Presidents' Award for Merit in Transportation Engineering: Assessing Transportation Policy Using an Activity-Based Microsimulation Model of Travel Demand","year":2006,"lang":"en","type":"article","venue":"ITE journal","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microsimulation; Telecommuting; Demand management; Transport engineering; Scheduling (production processes); Transportation planning; Operations research; Computer science; Engineering; Economics; Operations management","score_opus":0.03452593936604329,"score_gpt":0.3305878045873825,"score_spread":0.2960618652213392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557660147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5260886,0.000009252852,0.47359014,0.00009032325,0.000044339376,0.00012099995,0.000036466197,0.000013249005,0.00000665715],"genre_scores_gemma":[0.9638067,0.0000061460064,0.03577935,0.000013466567,0.00019686946,0.0000050202093,0.00016033449,0.000019210309,0.000012913503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988047,0.00006111231,0.00046052886,0.00014384136,0.00031157734,0.00021822788],"domain_scores_gemma":[0.9992959,0.000068466,0.00032401728,0.000050298673,0.00019097076,0.00007035913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005098193,0.00011186777,0.00017517753,0.00037449345,0.00024229554,0.00009961134,0.00007502079,0.00012209576,0.00000332488],"category_scores_gemma":[0.00001985052,0.00013045347,0.000083588355,0.000323798,0.000034045708,0.0010764751,1.7346755e-7,0.00011790588,5.349938e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006449735,0.00009945728,0.031277917,0.000035030316,0.000004909513,0.0000011987224,0.0037148295,0.91895497,0.04514866,0.00037012534,0.0000024523113,0.00032593426],"study_design_scores_gemma":[0.0009782645,0.000022868913,0.38249627,0.00009343676,0.00004431447,3.1372053e-7,0.00029019572,0.61193615,0.0035575405,0.0004308031,0.000018557803,0.00013132591],"about_ca_topic_score_codex":0.0015090582,"about_ca_topic_score_gemma":0.001977779,"teacher_disagreement_score":0.43781078,"about_ca_system_score_codex":0.0001210233,"about_ca_system_score_gemma":0.0003685917,"threshold_uncertainty_score":0.53197384},"labels":[],"label_agreement":null},{"id":"W173181640","doi":"","title":"Best Practices in Sustainable Transportation","year":2010,"lang":"en","type":"article","venue":"ITE journal","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Outreach; Certification; Best practice; Business; Sustainable transport; Transportation planning; Environmental planning; Sustainable development; Natural resource; Transport engineering; Engineering; Economic growth; Economics; Political science; Management; Geography","score_opus":0.015616125905933595,"score_gpt":0.28530729662181775,"score_spread":0.26969117071588417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W173181640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911776,0.00019465471,0.0018962702,0.00021772992,0.0004407867,0.00007919811,5.312295e-7,0.000048937185,0.005944294],"genre_scores_gemma":[0.9964172,0.000092161135,0.0015459835,0.000017882332,0.00019708421,0.0000051581274,0.0000013125753,0.000015909545,0.0017072887],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993773,0.000012868268,0.00016915635,0.000060219663,0.00012517981,0.00025527412],"domain_scores_gemma":[0.99968714,0.00003837559,0.00007303072,0.00006757681,0.000065302454,0.00006858208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003770307,0.00007316775,0.0000767381,0.00015814813,0.000059399816,0.00012335119,0.000089459754,0.000054076965,0.00013506823],"category_scores_gemma":[0.000057234563,0.00007028787,0.000026838938,0.00016555439,0.000008962563,0.0005074788,0.0000019898223,0.0005549461,0.000009440268],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019737473,0.0009768865,0.16324027,0.0012992795,0.00027099665,0.011250196,0.010653581,0.21798268,0.32660246,0.04745864,0.025523333,0.1945443],"study_design_scores_gemma":[0.002785731,0.00019137847,0.09648423,0.00015097999,0.00008512238,0.0005809889,0.022389263,0.021260442,0.009751753,0.012127883,0.8333071,0.00088514475],"about_ca_topic_score_codex":0.0000524517,"about_ca_topic_score_gemma":0.00008610186,"teacher_disagreement_score":0.8077837,"about_ca_system_score_codex":0.00006815495,"about_ca_system_score_gemma":0.00006750913,"threshold_uncertainty_score":0.28662562},"labels":[],"label_agreement":null},{"id":"W1794727333","doi":"","title":"Breaking Barriers with Building Blocks: The Story of the City of Edmonton’s Award-Winning Bicycle Education Videos","year":2015,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transport engineering; Plan (archaeology); Cycling; Work (physics); Engineering; Business; Geography","score_opus":0.022954547291558415,"score_gpt":0.305304813388727,"score_spread":0.28235026609716857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1794727333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937631,0.0004260618,0.00025545375,0.002107586,0.0004589144,0.000107364525,0.0000017769873,0.00000829052,0.0028714356],"genre_scores_gemma":[0.999034,0.0000060316315,0.00025025028,0.00008929936,0.0003809229,0.0000016282478,1.2250693e-7,0.0000054511856,0.00023231543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867755,0.00027099627,0.00023393612,0.00009210804,0.0005549164,0.00017049229],"domain_scores_gemma":[0.9988888,0.000093239134,0.0004140831,0.00016461589,0.000303882,0.00013541663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026062506,0.000068271445,0.00012474258,0.000044163706,0.0007431578,0.000052792628,0.00043127264,0.000044344062,0.000048845235],"category_scores_gemma":[0.00032345363,0.0000367625,0.00008378764,0.00029774942,0.00037253508,0.00033670495,0.000020004873,0.0003547089,1.8342358e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002546799,0.000028415916,0.97067577,0.000005858991,0.00002198521,5.029537e-7,0.024371786,0.00009372659,0.0005235883,0.000096486794,0.0005053981,0.0036510117],"study_design_scores_gemma":[0.0002976628,0.0000317396,0.95279217,0.00023322161,0.00007775603,0.000006241879,0.032529186,0.000028072538,0.0013096471,0.0018841344,0.010703342,0.0001068567],"about_ca_topic_score_codex":0.0022209052,"about_ca_topic_score_gemma":0.0015679385,"teacher_disagreement_score":0.017883632,"about_ca_system_score_codex":0.00014253025,"about_ca_system_score_gemma":0.0015540635,"threshold_uncertainty_score":0.5715844},"labels":[],"label_agreement":null},{"id":"W1957619682","doi":"","title":"HIGHWAY LIGHT TRESPASS: HUMAN AND SOCIAL FACTORS","year":2003,"lang":"en","type":"article","venue":"ITE journal","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trespass; Spillover effect; Light pollution; Business; Transport engineering; Engineering; Political science; Economics; Physics; Optics; Law; Microeconomics","score_opus":0.019031061527579215,"score_gpt":0.2568804824190811,"score_spread":0.2378494208915019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1957619682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96534115,0.000049424692,0.000022786411,0.0014525353,0.00014113172,0.00004845862,0.0000013445434,0.00001392363,0.03292925],"genre_scores_gemma":[0.9969265,0.00003716692,0.00014595952,0.00033657922,0.00013404815,5.9752165e-7,9.4610675e-7,0.000012861521,0.0024053256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888426,0.00008894879,0.00019575132,0.00013301808,0.00030819536,0.00038980896],"domain_scores_gemma":[0.9995718,0.000015955815,0.00011485302,0.000069259,0.0000022617576,0.00022588742],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036841512,0.00012473438,0.00013264472,0.000039451836,0.0007274127,0.000075881995,0.000097477496,0.00006926228,0.006068838],"category_scores_gemma":[0.000012991859,0.00009518416,0.000047538335,0.00006725267,0.00008973546,0.00026917187,0.0000310604,0.0002519138,0.00014662479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012637741,0.0001554011,0.9412059,0.0000058528067,0.00002111168,0.000030858762,0.0037294184,0.0000039076704,0.030567763,0.0010167669,0.02107746,0.0021729174],"study_design_scores_gemma":[0.0003756451,0.000079395264,0.7067827,0.0000032674418,0.000009730924,0.00004594761,0.00015776232,9.089527e-7,0.0015333857,0.00059567683,0.29028577,0.00012982312],"about_ca_topic_score_codex":0.000015047017,"about_ca_topic_score_gemma":0.00001809858,"teacher_disagreement_score":0.2692083,"about_ca_system_score_codex":0.0001897023,"about_ca_system_score_gemma":0.000010159646,"threshold_uncertainty_score":0.9948397},"labels":[],"label_agreement":null},{"id":"W2169672572","doi":"","title":"Past Presidents' Award for Merit in Transportation: Bus Rapid Transit Land Development Guidelines","year":2008,"lang":"en","type":"article","venue":"ITE journal","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bus rapid transit; Public transport; Transit-oriented development; Transport engineering; Business; Sustainability; Government (linguistics); Transit (satellite); Land use; Process (computing); Environmental planning; Engineering; Computer science; Geography; Civil engineering","score_opus":0.0644913369858759,"score_gpt":0.32855600837943433,"score_spread":0.26406467139355844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169672572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8933593,0.00090045185,0.095850356,0.0077167037,0.00090419524,0.00045059173,0.000041618292,0.000086419524,0.0006903336],"genre_scores_gemma":[0.9403012,0.0015055949,0.055105172,0.00037860314,0.0009102767,0.00003125586,0.00014284348,0.000022619732,0.0016024476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880034,0.000046055702,0.00048498187,0.00011612201,0.00034137518,0.00021112357],"domain_scores_gemma":[0.99941754,0.000049695263,0.00012033247,0.000037341357,0.00026949716,0.000105597814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005279587,0.00008336599,0.0001329801,0.00011954162,0.0005549224,0.000043056807,0.00010872137,0.000070624206,0.00010860123],"category_scores_gemma":[0.00003944514,0.0000807922,0.000058775327,0.0001884016,0.000043957425,0.00027805896,4.2808418e-7,0.00010371907,0.0000038905146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036002745,0.0001688924,0.69762415,0.00004644811,0.00008730363,0.00018510953,0.17415604,0.08130419,0.00009005229,0.00024046376,0.018105464,0.027631886],"study_design_scores_gemma":[0.0016546608,0.00003398204,0.65540403,0.00009955251,0.00002255886,0.000018160004,0.0017254296,0.00014597118,0.00009916863,0.00012220883,0.3404601,0.00021416055],"about_ca_topic_score_codex":0.00016545474,"about_ca_topic_score_gemma":0.0028955378,"teacher_disagreement_score":0.32235464,"about_ca_system_score_codex":0.00004419098,"about_ca_system_score_gemma":0.00030973193,"threshold_uncertainty_score":0.42680708},"labels":[],"label_agreement":null},{"id":"W2173890128","doi":"","title":"Meeting the Public’s Need for Transit Options: Characteristics of Socially Equitable Transit Networks","year":2015,"lang":"en","type":"article","venue":"ITE journal","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Metropolitan area; Transit (satellite); Business; Public transport; Social equality; Public economics; Transport engineering; Public administration; Political science; Economics; Engineering; Geography; Law","score_opus":0.057076395164721495,"score_gpt":0.309183047133691,"score_spread":0.2521066519689695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173890128","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048315942,0.0010112202,0.91155314,0.030566487,0.0019075403,0.00050927885,0.00005940526,0.0000893181,0.005987655],"genre_scores_gemma":[0.9931492,0.00027535134,0.0050911414,0.00019296067,0.00081707444,0.000006647152,0.00002779518,0.000011496549,0.0004282908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988369,0.00014412666,0.00034552207,0.00007025599,0.0003222093,0.00028102275],"domain_scores_gemma":[0.9988407,0.00015160322,0.0002493857,0.00005167159,0.000572452,0.0001341986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002617924,0.000065932174,0.00013670449,0.000054957254,0.00081322104,0.00019333539,0.00018395462,0.00008912986,0.000030260364],"category_scores_gemma":[0.0002177024,0.00005296774,0.000095797885,0.00022737448,0.000095844596,0.00032722225,0.0000022149416,0.00016226279,0.0000010036156],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070045184,0.00055648515,0.024169099,0.000084991014,0.0005021953,0.00002113437,0.2834261,0.41575405,0.00058027275,0.16488914,0.03355248,0.07576357],"study_design_scores_gemma":[0.010466037,0.00077001075,0.07257798,0.00072611356,0.0011964138,0.0000743144,0.17429926,0.0907067,0.000085920256,0.02248941,0.62495506,0.0016527653],"about_ca_topic_score_codex":0.00005625496,"about_ca_topic_score_gemma":0.00044300666,"teacher_disagreement_score":0.9448333,"about_ca_system_score_codex":0.00004556043,"about_ca_system_score_gemma":0.00048747723,"threshold_uncertainty_score":0.62547207},"labels":[],"label_agreement":null},{"id":"W2219949789","doi":"","title":"From Metro and Light Rail to Trains and Trams: Exploring Sydney, Australia’s Expansive Public Transit Initiatives: Part One of Two","year":2015,"lang":"en","type":"article","venue":"ITE journal","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Expansive; Train; Executive director; Public transport; Government (linguistics); Variety (cybernetics); Public administration; Political science; Management; Engineering; Transport engineering; Geography; Economics","score_opus":0.21352845498319398,"score_gpt":0.2806495283532882,"score_spread":0.06712107337009424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219949789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930529,0.00021977354,0.00032712784,0.004332676,0.00033776238,0.00009881413,0.000023012772,0.000024257513,0.0015836977],"genre_scores_gemma":[0.9970762,0.00007278353,0.00034256303,0.0006282258,0.0017863002,0.000008166108,0.000009148682,0.000019230987,0.00005739644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892306,0.000011894336,0.0004157248,0.0001826607,0.00016185394,0.00030478003],"domain_scores_gemma":[0.9994479,0.000027388334,0.00019179235,0.00009620401,0.00011164202,0.0001250796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035585836,0.00017134892,0.00035431734,0.00032302897,0.000097813405,0.00031827914,0.00013297296,0.000043723056,0.00015732726],"category_scores_gemma":[0.000042147392,0.00016013981,0.00006555331,0.00016828875,0.00006245087,0.0027772146,0.000026219535,0.00017918013,0.000017807362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012083289,0.0011116188,0.69076794,0.00070190814,0.0027245337,0.00030744725,0.16495022,0.0004966419,0.023344817,0.020218924,0.02390122,0.07026639],"study_design_scores_gemma":[0.011536324,0.00022144991,0.6672719,0.0008384131,0.0007313934,0.0000515416,0.05832415,0.00021263024,0.0029299555,0.016446568,0.23996149,0.0014741566],"about_ca_topic_score_codex":0.00061071565,"about_ca_topic_score_gemma":0.0005514937,"teacher_disagreement_score":0.21606027,"about_ca_system_score_codex":0.0000270463,"about_ca_system_score_gemma":0.000030709354,"threshold_uncertainty_score":0.65303123},"labels":[],"label_agreement":null},{"id":"W2466059777","doi":"","title":"Key Performance Lagging and Leading Indicators for Traffic Safety Improvement: Case Study of the City of Edmonton, Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"ITE journal","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lagging; Performance indicator; Key (lock); Measure (data warehouse); Transport engineering; Performance measurement; Business; Process management; Computer science; Engineering; Computer security; Marketing","score_opus":0.04123417752677605,"score_gpt":0.3920922221319184,"score_spread":0.35085804460514236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466059777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709344,0.000058599817,0.000021998596,0.0013442836,0.00031322817,0.0009079545,0.000039144823,0.0000019636327,0.00021937373],"genre_scores_gemma":[0.9990965,0.00006752682,0.000025257359,0.00012019691,0.0001164267,0.000024802108,4.5016486e-7,0.000008804465,0.0005400214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826896,0.00021146314,0.0006708715,0.00010757534,0.00036997322,0.00037115335],"domain_scores_gemma":[0.99760425,0.0013644241,0.0004735532,0.0001414527,0.00022494991,0.00019137759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012758645,0.00007996328,0.00020457446,0.000095461844,0.0011762414,0.0000029680784,0.00013917082,0.000052175634,0.00006964746],"category_scores_gemma":[0.00031062152,0.00004280505,0.00003277107,0.0001550664,0.000044283668,0.00010547919,0.00006106973,0.00036045891,4.4593466e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037502137,0.00007898175,0.90318376,0.00030162453,0.00003513507,0.00000775492,0.004829881,0.000017620761,0.00011225775,0.000021291555,0.00048075322,0.090555936],"study_design_scores_gemma":[0.004247268,0.00065280916,0.97928154,0.0005349724,0.00002892896,0.00010404963,0.009579501,0.00040007912,0.00009942781,0.000015911919,0.0049463385,0.00010918023],"about_ca_topic_score_codex":0.11046715,"about_ca_topic_score_gemma":0.5940023,"teacher_disagreement_score":0.48353514,"about_ca_system_score_codex":0.0002799143,"about_ca_system_score_gemma":0.0017897597,"threshold_uncertainty_score":0.90468174},"labels":[],"label_agreement":null},{"id":"W2755483591","doi":"","title":"Next Generation Cycling Facilities: The Toronto Experience","year":2017,"lang":"en","type":"article","venue":"ITE journal","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Geography; Forestry","score_opus":0.03190486737992348,"score_gpt":0.267079673310867,"score_spread":0.23517480593094353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755483591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725328,0.0007228878,0.012655983,0.0001982911,0.0012756125,0.000052716423,0.0000012512443,0.00003535554,0.012525093],"genre_scores_gemma":[0.9980621,0.00017746081,0.0003052958,0.000050651375,0.0009278302,0.0000034799596,4.2789148e-7,0.000007156051,0.00046561137],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994467,0.000018621298,0.00016253865,0.0000652169,0.00013223417,0.00017468062],"domain_scores_gemma":[0.99951386,0.000019187166,0.000044973505,0.00031413473,0.00005299362,0.000054876047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017662936,0.00008062341,0.00007357513,0.000007850416,0.00088772376,0.0007782561,0.0002797301,0.00004064047,0.00043969232],"category_scores_gemma":[0.00008566934,0.00005355873,0.00005162796,0.000008568621,0.000057548143,0.0012197817,0.000024097046,0.00017878544,0.0000041842345],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048914535,0.000054832533,0.02076151,0.00016878797,0.00029208022,0.00009890604,0.15604575,0.068291806,0.14692116,0.0039849095,0.043600444,0.5597309],"study_design_scores_gemma":[0.0010198419,0.000113576505,0.07228004,0.000052263247,0.000039658924,0.0006330437,0.06094687,0.20131329,0.0075162803,0.018722871,0.636422,0.00094030786],"about_ca_topic_score_codex":0.00011092835,"about_ca_topic_score_gemma":0.00021293572,"teacher_disagreement_score":0.59282154,"about_ca_system_score_codex":0.00020374129,"about_ca_system_score_gemma":0.00002153663,"threshold_uncertainty_score":0.75047415},"labels":[],"label_agreement":null},{"id":"W2992824656","doi":"","title":"The Effectiveness of Transitional Speed Zones","year":2004,"lang":"en","type":"article","venue":"ITE journal","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dispersion (optics); Daylight; Wave speed; Geology; Meteorology; Environmental science; Geography; Mathematics","score_opus":0.004197884462141383,"score_gpt":0.19863225117493957,"score_spread":0.19443436671279818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992824656","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29978803,0.0005666094,0.68709874,0.00029281067,0.0009539219,0.00015781644,0.0000056773274,0.0009811453,0.010155271],"genre_scores_gemma":[0.9991635,0.00026458033,0.0004826163,0.000008824857,0.000065581844,0.0000012674766,6.3712616e-7,0.00000601921,0.000006973699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99967957,0.000022944094,0.000099735276,0.000025125577,0.000102268976,0.00007037783],"domain_scores_gemma":[0.9998577,0.000039456605,0.000014046164,0.000043033204,0.000022196522,0.000023556242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033395455,0.00004114884,0.00005047905,0.00004071265,0.00006021382,0.00001976741,0.0000668797,0.00001813707,0.0000053899867],"category_scores_gemma":[0.000005677969,0.000028999435,0.00004615575,0.000054182925,0.000023155577,0.00006894463,0.0000034205932,0.00010143136,0.0000031558786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040706355,0.00022564505,0.00042301803,0.00040600362,0.0007160996,0.00008979767,0.0006621406,0.61950034,0.10316493,0.14782453,0.015289681,0.11129072],"study_design_scores_gemma":[0.0111373905,0.0006177133,0.5573314,0.0018682622,0.0002733278,0.0018239355,0.0006424671,0.024393914,0.18796214,0.10990034,0.102932066,0.0011170645],"about_ca_topic_score_codex":8.6206325e-7,"about_ca_topic_score_gemma":0.0000013615834,"teacher_disagreement_score":0.69937545,"about_ca_system_score_codex":0.000030491781,"about_ca_system_score_gemma":0.0000073367864,"threshold_uncertainty_score":0.11825626},"labels":[],"label_agreement":null},{"id":"W3208830192","doi":"","title":"Canada and the Safe Systems Approach to Road Safety","year":2019,"lang":"en","type":"article","venue":"ITE journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Business; Engineering","score_opus":0.0030835438518845323,"score_gpt":0.1496801938074464,"score_spread":0.14659664995556188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208830192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77613634,0.006271916,0.013571425,0.0015483282,0.0064787725,0.0008417712,0.0000448078,0.0001376397,0.19496897],"genre_scores_gemma":[0.9979851,0.00012362584,0.00015422584,0.00012797542,0.00025863614,0.00000192563,8.6511534e-7,0.000014363197,0.0013332677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993306,0.00003403519,0.00019411698,0.00006927334,0.00018329195,0.00018872434],"domain_scores_gemma":[0.99967057,0.000035113317,0.000024118634,0.0001205088,0.000021059242,0.00012861378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000306259,0.00009086617,0.00015924826,0.00002504786,0.000095328985,0.000056275952,0.00012652909,0.000033856984,0.000018549943],"category_scores_gemma":[0.000006793612,0.00005355758,0.000029395358,0.000071493734,0.000012934353,0.000050107676,0.000018403907,0.0002601994,0.000019514788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105377294,0.0000088933475,0.0015427367,0.000080479695,0.00014836593,0.000011055871,0.0009384846,0.938942,0.00005216267,0.0023274887,0.03878664,0.017056284],"study_design_scores_gemma":[0.0029878495,0.00002356203,0.14237548,0.00010639708,0.000040103514,0.001450743,0.0011645994,0.1949565,0.000007670617,0.000017839257,0.65646553,0.00040370555],"about_ca_topic_score_codex":0.029135047,"about_ca_topic_score_gemma":0.011369483,"teacher_disagreement_score":0.74398553,"about_ca_system_score_codex":0.000114798626,"about_ca_system_score_gemma":0.00008647953,"threshold_uncertainty_score":0.97733},"labels":[],"label_agreement":null},{"id":"W335562795","doi":"","title":"Walking to Transit: Influence of Built Environment at Varying Distances","year":2011,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Mile; Built environment; Transport engineering; Standard deviation; Descriptive statistics; Quarter (Canadian coin); Regression analysis; Environmental science; Work (physics); Geography; Statistics; Mathematics; Public transport; Engineering; Geodesy; Civil engineering","score_opus":0.03581180123755024,"score_gpt":0.2797443534114317,"score_spread":0.2439325521738815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W335562795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99323565,0.00025978507,0.00086087134,0.00018340799,0.00010751051,0.000073228344,0.0000039354663,0.000010325933,0.005265275],"genre_scores_gemma":[0.99863166,0.00009729634,0.0008552138,0.00006769801,0.00009765872,0.0000013497772,2.3350476e-7,0.000004643162,0.0002442679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989227,0.000057020905,0.00027544773,0.00012258573,0.0003661187,0.0002561283],"domain_scores_gemma":[0.99954563,0.00002689552,0.00012583609,0.00009840691,0.00003117464,0.00017203852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061906746,0.000069643276,0.00012542958,0.000042866748,0.00043085884,0.0000248508,0.00028253172,0.000039051094,0.0008646886],"category_scores_gemma":[0.000019913141,0.000059533828,0.00007482837,0.000108605804,0.0001476516,0.00038982564,0.000016925342,0.000119389275,0.000014787972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010028387,0.00009454466,0.8976319,0.00001632008,0.00002315473,0.000030623305,0.08094399,0.000258973,0.0088913785,0.00016537045,0.000045011748,0.011798472],"study_design_scores_gemma":[0.00015912594,0.00003582886,0.98686594,0.0000626559,0.000022575347,0.0000018555077,0.00075253326,0.0000020608495,0.0030759384,0.0021617254,0.006736594,0.00012318573],"about_ca_topic_score_codex":0.00059781474,"about_ca_topic_score_gemma":0.0009862027,"teacher_disagreement_score":0.08923404,"about_ca_system_score_codex":0.00009090763,"about_ca_system_score_gemma":0.00004221575,"threshold_uncertainty_score":0.94677335},"labels":[],"label_agreement":null},{"id":"W46703469","doi":"","title":"Mobility Hub Guidelines: Tools for Achieving Successful Station Areas","year":2012,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Plan (archaeology); Metropolitan area; Transport engineering; Context (archaeology); Transportation planning; Placemaking; Business; Agency (philosophy); Urban planning; Computer science; Geography; Engineering; Civil engineering; Urban design","score_opus":0.10833112009030531,"score_gpt":0.402850919809646,"score_spread":0.29451979971934067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W46703469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98032236,0.00064752327,0.013581183,0.0016530836,0.00094843225,0.00027248415,0.000025436999,0.00004139781,0.0025080796],"genre_scores_gemma":[0.9939495,0.00006083852,0.0028640404,0.00022034408,0.0024492433,0.000010367589,0.0000120571585,0.0000086585305,0.00042495248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984555,0.00011913317,0.00047584146,0.00012874871,0.00038096122,0.0004398184],"domain_scores_gemma":[0.9986638,0.0002542291,0.00023050846,0.0001212021,0.0004728347,0.00025742123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034819378,0.00009436949,0.00015257431,0.000047936603,0.0008049627,0.0003403716,0.00024873624,0.000081936574,0.00054395903],"category_scores_gemma":[0.0012026342,0.00007903564,0.0001460732,0.00015884575,0.0000952468,0.0026226132,0.000010590532,0.00018171065,0.0000096814165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004270016,0.00012409383,0.9409064,0.000019726538,0.000016466925,7.991054e-7,0.0045740856,0.00001434315,0.00015360223,0.00043468396,0.0031205944,0.050592512],"study_design_scores_gemma":[0.0004210893,0.000026737123,0.8403272,0.000044047236,0.00004957743,0.0000021726812,0.0049597584,0.00003776611,0.000121279416,0.003513004,0.15030032,0.00019701323],"about_ca_topic_score_codex":0.00034173994,"about_ca_topic_score_gemma":0.00077918224,"teacher_disagreement_score":0.14717974,"about_ca_system_score_codex":0.00013493674,"about_ca_system_score_gemma":0.00019626773,"threshold_uncertainty_score":0.61912036},"labels":[],"label_agreement":null},{"id":"W49764044","doi":"","title":"Active Transportation and Obesity in Europe, North America and Australia","year":2011,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Obesity; Environmental health; Public transport; Public health; Geography; Physical activity; Government (linguistics); Socioeconomics; Medicine; Transport engineering; Economics; Engineering","score_opus":0.049638641477015945,"score_gpt":0.29772742297754134,"score_spread":0.2480887815005254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W49764044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852616,0.000048697493,0.00004082984,0.00006617221,0.00006314768,0.000054891323,0.0000079729725,0.0000070658384,0.0011850463],"genre_scores_gemma":[0.99929756,0.00021179083,0.00020331534,0.000029887597,0.000057515063,5.359031e-7,0.0000019499403,0.0000025871095,0.0001948801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994499,0.000059110993,0.00013679241,0.00009929458,0.00011705452,0.00013784434],"domain_scores_gemma":[0.9997127,0.000012485243,0.000073912764,0.000030856558,0.000057730413,0.00011229247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001403952,0.000051639676,0.000085802545,0.000041900672,0.00017542901,0.000033818153,0.000062313855,0.000029670278,0.00019314105],"category_scores_gemma":[0.000014528181,0.000045477387,0.000014316918,0.00019844084,0.00017088604,0.0004386457,0.0000018078529,0.00017530209,0.0000023774983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002942434,0.000035220462,0.972381,0.0000029296662,0.0000038768835,0.00002937761,0.022308376,2.3905034e-7,0.0000190942,0.000034519464,0.000025075393,0.0051308763],"study_design_scores_gemma":[0.00015715249,0.000020472724,0.99649704,0.000008215393,0.000010689528,7.696638e-7,0.00092656113,8.0081526e-7,0.00001870098,0.00036477178,0.0019376342,0.00005720143],"about_ca_topic_score_codex":0.0033822746,"about_ca_topic_score_gemma":0.031225953,"teacher_disagreement_score":0.027843678,"about_ca_system_score_codex":0.000014373048,"about_ca_system_score_gemma":0.00004150323,"threshold_uncertainty_score":0.9864516},"labels":[],"label_agreement":null},{"id":"W561192149","doi":"","title":"Encouraging Equitable Access to Public Bikesharing Systems","year":2013,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public access; Public transport; Charge (physics); Business; Political science; Public administration; Transport engineering; Engineering","score_opus":0.07449350703889823,"score_gpt":0.34595117464371583,"score_spread":0.2714576676048176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W561192149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.949796,0.00051618746,0.0022012219,0.0054062153,0.0015181723,0.00028548867,0.0000018271994,0.00007852001,0.04019636],"genre_scores_gemma":[0.9959125,0.000027360842,0.00014074716,0.00027213662,0.0011454993,0.00001541425,7.3072e-7,0.000010327294,0.002475317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817604,0.00009238532,0.0003258029,0.00017695536,0.00053114485,0.0006976922],"domain_scores_gemma":[0.99885124,0.00005198004,0.0001357102,0.00014569277,0.0002989955,0.0005163713],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014798003,0.00009592145,0.0001595213,0.00016931951,0.0011352105,0.00403565,0.00084121886,0.00006147321,0.0018822193],"category_scores_gemma":[0.00013601872,0.00008086223,0.00007220996,0.00048321436,0.00005394813,0.0036200683,0.0000808196,0.0002761706,0.00020914842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031121137,0.000050556326,0.9623905,0.000021128672,0.000024787574,0.000019526302,0.0042010695,0.000086262306,0.00046188,0.0007440745,0.016278263,0.015718859],"study_design_scores_gemma":[0.00057224225,0.000043348125,0.6772268,0.000297039,0.0000382482,0.000023811703,0.01165528,0.00052814814,0.000132931,0.0054166326,0.3033507,0.0007148513],"about_ca_topic_score_codex":0.0044442913,"about_ca_topic_score_gemma":0.0008176733,"teacher_disagreement_score":0.28707242,"about_ca_system_score_codex":0.00017570709,"about_ca_system_score_gemma":0.00022136857,"threshold_uncertainty_score":0.9990302},"labels":[],"label_agreement":null},{"id":"W565165809","doi":"","title":"APPLYING GIS-T FOR HEAVY TRUCK SAFETY ANALYSIS","year":2002,"lang":"en","type":"article","venue":"ITE journal","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Transport engineering; Geographic information system; Work (physics); Government (linguistics); Audit; Business; Engineering; Geography; Automotive engineering","score_opus":0.02507454242413678,"score_gpt":0.22198784856612663,"score_spread":0.19691330614198985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W565165809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95103776,0.004887491,0.0044339104,0.015427362,0.0010923499,0.001561088,0.00041437827,0.0002549531,0.020890694],"genre_scores_gemma":[0.9942083,0.0005016074,0.0007425318,0.00086997636,0.0016591734,0.000027427495,0.000045877234,9.828359e-7,0.0019441649],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989868,0.000041740263,0.00029734778,0.0001716337,0.00020154772,0.0003009695],"domain_scores_gemma":[0.99943924,0.00013222253,0.0001430873,0.00003554066,0.00009048875,0.00015942469],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026965066,0.00012280366,0.0002257379,0.000021042095,0.00056987104,0.00010815962,0.00020447167,0.000086303924,0.0017058442],"category_scores_gemma":[0.00001272388,0.000037165413,0.00042346134,0.0006205519,0.000020120313,0.00014562595,0.000020953024,0.00017901813,0.000039819908],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014241236,0.00017909915,0.014070543,0.0000048830652,0.00053894735,0.000015901553,0.0002261247,0.0002061442,0.021620704,0.00040739795,0.019169476,0.9434184],"study_design_scores_gemma":[0.00030301348,0.0002299719,0.14147511,0.000008507963,0.00032933865,0.00010551803,0.0003587357,0.0009803587,0.0001392328,0.0004502175,0.85534215,0.0002778717],"about_ca_topic_score_codex":0.000012559072,"about_ca_topic_score_gemma":0.000095578485,"teacher_disagreement_score":0.9431405,"about_ca_system_score_codex":0.000031884745,"about_ca_system_score_gemma":0.0000017391574,"threshold_uncertainty_score":0.9992067},"labels":[],"label_agreement":null},{"id":"W569198938","doi":"","title":"Better Health through Active Transportation: Implementing and Sustaining Vancouver’s Transportation 2040 Plan","year":2014,"lang":"en","type":"article","venue":"ITE journal","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Plan (archaeology); Work (physics); Transport engineering; Business; Transit (satellite); Transportation planning; Public transport; Environmental planning; Geography; Engineering","score_opus":0.027838007302017263,"score_gpt":0.30596595876797433,"score_spread":0.2781279514659571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W569198938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8148184,0.00019635864,0.017659755,0.15674278,0.0017265133,0.00038891623,0.000035878114,0.00012387345,0.008307525],"genre_scores_gemma":[0.9094726,0.00008864148,0.0014870457,0.085505955,0.003263101,0.000006817673,0.00010760629,0.000026201462,0.000042057432],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982568,0.000044190925,0.00064008794,0.00019288974,0.00018818789,0.0006778414],"domain_scores_gemma":[0.9990229,0.00007960827,0.00062501495,0.00007971483,0.00013794543,0.000054787386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012302316,0.00015683903,0.0003008622,0.00011977057,0.0006424055,0.00016855837,0.00010500589,0.000065985165,0.00013683877],"category_scores_gemma":[0.000066216555,0.00013872742,0.00006664489,0.00018043902,0.000036151927,0.001326824,0.000007728254,0.00030611514,0.000008260859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011132339,0.00005041847,0.062146343,0.0005171562,0.000090895104,0.000019293417,0.0032338598,0.00090658676,0.000019787516,0.05824044,0.76384515,0.11081878],"study_design_scores_gemma":[0.0006971986,0.000030122737,0.100438684,0.000045047345,0.000021388829,0.0000053161284,0.0026844176,0.00089558255,8.154149e-7,0.008315401,0.8867314,0.00013466108],"about_ca_topic_score_codex":0.0042790263,"about_ca_topic_score_gemma":0.005033232,"teacher_disagreement_score":0.12288624,"about_ca_system_score_codex":0.000053030155,"about_ca_system_score_gemma":0.00006818935,"threshold_uncertainty_score":0.6468636},"labels":[],"label_agreement":null},{"id":"W570988648","doi":"","title":"Young Consultant's Award: Downtown Vancouver Transportation and Emergency Management System","year":2009,"lang":"en","type":"article","venue":"ITE journal","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Pedestrian; Computer science; Variety (cybernetics); Event (particle physics); Transport engineering; Emergency management; Operations research; Engineering; Artificial intelligence; Geography","score_opus":0.00322738325739853,"score_gpt":0.18941490026182156,"score_spread":0.18618751700442304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W570988648","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10839228,0.001688456,0.7659792,0.00028776625,0.0066021467,0.0006472672,0.000027998256,0.0075822,0.108792715],"genre_scores_gemma":[0.9956941,0.002076796,0.0018311217,0.00002175122,0.00009420879,0.0000041756484,0.000002956688,0.000009956134,0.00026490504],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99935013,0.0000089554715,0.00025757184,0.00008366123,0.00015395404,0.00014572742],"domain_scores_gemma":[0.99978375,0.0000020589353,0.000039561713,0.00007208827,0.00002695932,0.00007555763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012554131,0.0001026321,0.00009633384,0.00012989876,0.00007709409,0.00003629075,0.00006556682,0.0000376023,0.00003408722],"category_scores_gemma":[9.1221517e-7,0.00009658887,0.00003758674,0.000104098865,0.0000066567363,0.00020191784,0.0000022998727,0.00012664583,0.0000046993114],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035022957,0.00005860993,0.0013027089,0.00036747492,0.00029195688,0.00035480948,0.0009973209,0.004545342,0.0011963354,0.007537629,0.601663,0.38164976],"study_design_scores_gemma":[0.0039580707,0.00028806514,0.5165396,0.0007617996,0.00064324844,0.0004200932,0.004278126,0.07306713,0.00073155115,0.0008483369,0.3971547,0.001309298],"about_ca_topic_score_codex":0.000001958461,"about_ca_topic_score_gemma":0.00002681135,"teacher_disagreement_score":0.88730186,"about_ca_system_score_codex":0.00005781886,"about_ca_system_score_gemma":0.0000020652822,"threshold_uncertainty_score":0.39387798},"labels":[],"label_agreement":null},{"id":"W576864756","doi":"","title":"SHORT-PERIOD COUNTS WITH A FOCUS ON TRUCK TRAFFIC ESTIMATION","year":2002,"lang":"en","type":"article","venue":"ITE journal","topic":"Transport Systems and Technology","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Reliability (semiconductor); Traffic volume; Estimation; Transport engineering; Statistics; Environmental science; Computer science; Engineering; Automotive engineering; Mathematics","score_opus":0.009438455803727881,"score_gpt":0.18382364052867864,"score_spread":0.17438518472495076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W576864756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821212,0.0005061927,0.005714955,0.00018658082,0.0003517555,0.0000617129,0.0000036112096,0.0002661605,0.010787814],"genre_scores_gemma":[0.99932677,0.000027390433,0.00043884738,0.0000046792607,0.00006428935,0.0000017004679,4.418601e-7,0.0000133260455,0.0001225645],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996877,0.0000024188325,0.000094892785,0.00003905034,0.000082744176,0.00009322123],"domain_scores_gemma":[0.99988925,0.0000027867175,0.000011591229,0.000058189828,0.000008936304,0.00002924945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000025485335,0.00005645247,0.00007194371,0.00006319664,0.000030588926,0.000018162147,0.000040860814,0.000047413996,0.00020346662],"category_scores_gemma":[9.05858e-7,0.000043432206,0.000019181118,0.000055917957,0.000008115879,0.000042648706,5.558334e-7,0.00015928951,0.00011405888],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014264948,0.000053111195,0.001071272,0.000040483428,0.000105358195,0.00044573503,0.0006077939,0.13309753,0.00028646903,0.00068980234,0.009388722,0.85419947],"study_design_scores_gemma":[0.0034557774,0.0010552409,0.052723832,0.000849496,0.00015685816,0.013769964,0.00021383351,0.71023315,0.001284837,0.00063829886,0.21425904,0.0013596687],"about_ca_topic_score_codex":2.5873803e-7,"about_ca_topic_score_gemma":0.000004412516,"teacher_disagreement_score":0.85283977,"about_ca_system_score_codex":0.000025541685,"about_ca_system_score_gemma":0.0000020298605,"threshold_uncertainty_score":0.22278169},"labels":[],"label_agreement":null},{"id":"W597872396","doi":"","title":"The National Traffic Signal Report Card","year":2012,"lang":"en","type":"article","venue":"ITE journal","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Report card; SIGNAL (programming language); Aggregate (composite); Traffic signal; State (computer science); Computer security; Computer science; Psychology; Business; Real-time computing; Algorithm","score_opus":0.014227725106394569,"score_gpt":0.2395862702051013,"score_spread":0.22535854509870673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W597872396","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33728355,0.0077851964,0.23369624,0.0038227537,0.015808104,0.00067946874,0.000017736167,0.014973075,0.38593388],"genre_scores_gemma":[0.9980108,0.00021445885,0.0003720016,0.00006907059,0.0009540812,0.0000051508487,0.0000014099195,0.000011085799,0.0003619275],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993197,0.000014389427,0.00017757028,0.000033841432,0.00027227122,0.00018224985],"domain_scores_gemma":[0.999771,0.000023840801,0.000033548757,0.000048428232,0.000041971383,0.000081209175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062007917,0.000060277875,0.00004804215,0.00005511922,0.00015617706,0.00007045208,0.00009301552,0.00002930118,0.000029061153],"category_scores_gemma":[0.000016532913,0.0000429678,0.00005632468,0.00006283536,0.000016720003,0.00019356432,0.000009918416,0.0002064963,0.00002442085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037232046,0.000019330148,0.00024436487,0.000004733034,0.00008641937,0.000021786856,0.00016541885,0.007575906,0.000454767,0.0007634083,0.91363776,0.077022366],"study_design_scores_gemma":[0.00012616691,0.000011279841,0.006382144,0.0000097587135,0.000014487716,0.0014084296,0.00006014355,0.013366411,0.00024443006,0.00006873114,0.97821075,0.000097296586],"about_ca_topic_score_codex":1.5145285e-7,"about_ca_topic_score_gemma":7.1616364e-7,"teacher_disagreement_score":0.66072726,"about_ca_system_score_codex":0.00007160288,"about_ca_system_score_gemma":0.000011055357,"threshold_uncertainty_score":0.1752176},"labels":[],"label_agreement":null},{"id":"W606278052","doi":"","title":"Establishing Right-of-Way Standards for Roundabouts in the City of Calgary, Canada","year":2009,"lang":"en","type":"article","venue":"ITE journal","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Roundabout; Intersection (aeronautics); Transport engineering; Process (computing); Flexibility (engineering); Right of way; Identification (biology); Order (exchange); Traffic calming; Computer science; Operations research; Engineering; Business; Mathematics","score_opus":0.012472659424878857,"score_gpt":0.2595137669241879,"score_spread":0.24704110749930908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W606278052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742708,0.0002987012,0.022939306,0.0001727724,0.00038207523,0.00015887659,0.000018502737,0.0000067365268,0.0017521959],"genre_scores_gemma":[0.9988645,0.000036006266,0.00090877037,0.000055337798,0.00010979828,0.000001907517,0.0000033886554,0.000005364031,0.000014932237],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989309,0.000025093355,0.00033004116,0.000041623003,0.0005127232,0.00015967307],"domain_scores_gemma":[0.99957573,0.000069674206,0.000097563,0.0000858881,0.0001419286,0.000029216624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013707706,0.00006694096,0.000121553334,0.00006515626,0.000054907232,0.000035584133,0.00015583159,0.000027611513,0.000041530468],"category_scores_gemma":[0.00008027925,0.000048653477,0.000031600677,0.00013775982,0.000008401483,0.000312529,0.0000036842598,0.00018078924,6.288589e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039632226,0.0002970895,0.09021255,0.0007581834,0.00027969762,0.00007458702,0.016416859,0.3790826,0.024764648,0.00297755,0.060433153,0.42430675],"study_design_scores_gemma":[0.004121804,0.00050572783,0.6013011,0.00062733854,0.000099810255,0.000088785404,0.00079516985,0.28659186,0.0324231,0.0038462514,0.069079325,0.00051976397],"about_ca_topic_score_codex":0.003793573,"about_ca_topic_score_gemma":0.04880331,"teacher_disagreement_score":0.5110885,"about_ca_system_score_codex":0.00032571753,"about_ca_system_score_gemma":0.0003131182,"threshold_uncertainty_score":0.96855354},"labels":[],"label_agreement":null},{"id":"W614640290","doi":"","title":"A Model for Setting Credible Speed Limits in Urban Areas","year":2013,"lang":"en","type":"article","venue":"ITE journal","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Speed limit; Christian ministry; Transport engineering; Percentile; Limit (mathematics); Operating speed; Key (lock); Computer science; Engineering; Statistics; Civil engineering; Computer security; Mathematics; Political science; Law","score_opus":0.020305695837117235,"score_gpt":0.230246744547307,"score_spread":0.20994104871018976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W614640290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16840692,0.00028060185,0.80890524,0.00075770175,0.0005335336,0.00057369075,0.0000068605327,0.0024448829,0.018090565],"genre_scores_gemma":[0.9874744,0.000083707455,0.011629818,0.00011811575,0.000168512,0.000018042334,0.000001863676,0.000020040017,0.0004855143],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994716,0.000005767494,0.00018426894,0.00006058388,0.00008460543,0.00019314376],"domain_scores_gemma":[0.9997969,0.000014093092,0.000026213133,0.00006532586,0.000030155143,0.000067290915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001558764,0.00007531357,0.00008233561,0.00016961103,0.000037237995,0.00008152119,0.000093375675,0.000041794134,0.000026897618],"category_scores_gemma":[0.000017823411,0.00007309055,0.00004493587,0.00007121409,0.000005313166,0.00026883374,0.000009938651,0.00017025271,0.000011757539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006416942,0.0000289131,0.00095470523,0.000048312904,0.000031686766,0.00000537367,0.00052144594,0.14643992,0.0037637514,0.0003398135,0.81199,0.035869647],"study_design_scores_gemma":[0.00033406023,0.000012674719,0.0019278377,0.000048752045,0.0000057648504,0.000014433183,0.000043654924,0.991746,0.00022323885,0.0004649698,0.005097773,0.00008084775],"about_ca_topic_score_codex":0.0000025377974,"about_ca_topic_score_gemma":0.000005896586,"teacher_disagreement_score":0.84530604,"about_ca_system_score_codex":0.00005418121,"about_ca_system_score_gemma":0.000008073026,"threshold_uncertainty_score":0.29805464},"labels":[],"label_agreement":null},{"id":"W620428028","doi":"","title":"Giving the Edge to Pedestrians: Food for Thought","year":2012,"lang":"en","type":"article","venue":"ITE journal","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Legislation; Equity (law); Business; Transport engineering; Transportation planning; Order (exchange); Accommodation; Engineering; Finance; Political science; Psychology","score_opus":0.05111475857092955,"score_gpt":0.3366680904608617,"score_spread":0.28555333188993215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W620428028","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4466103,0.0015843492,0.4794957,0.038753804,0.006432012,0.000852192,0.000047845162,0.00014741125,0.026076382],"genre_scores_gemma":[0.9890701,0.00003842094,0.0059895855,0.00044362276,0.0021219375,0.000006713421,0.0000017910457,0.0000060998987,0.002321738],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994273,0.00005905527,0.00010979255,0.000038143393,0.0001592832,0.00020641822],"domain_scores_gemma":[0.999564,0.00014533951,0.0000605503,0.000037893784,0.000071668444,0.000120584744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009927014,0.000036124286,0.000043979075,0.000033537264,0.0008030573,0.00011252114,0.00010726634,0.00003068278,0.0000655185],"category_scores_gemma":[0.00020837889,0.000025123454,0.000043522567,0.00013388597,0.000018790826,0.00025390496,0.00000202637,0.00008119708,0.000011026058],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001434974,0.00020830763,0.21989633,0.000025934265,0.0001351724,0.0000027469896,0.42669564,0.011489607,0.00028656944,0.099745125,0.147515,0.09385606],"study_design_scores_gemma":[0.00019075922,0.000038700833,0.04270337,0.000022073391,0.000018500097,0.000004605933,0.0061524147,0.00003185607,0.000035868754,0.00040811618,0.95031804,0.000075711236],"about_ca_topic_score_codex":0.000013791759,"about_ca_topic_score_gemma":0.00013808183,"teacher_disagreement_score":0.80280304,"about_ca_system_score_codex":0.000025083591,"about_ca_system_score_gemma":0.000065744534,"threshold_uncertainty_score":0.61765486},"labels":[],"label_agreement":null},{"id":"W648714500","doi":"","title":"Translink and the 2010 Olympic Winter Games","year":2011,"lang":"en","type":"article","venue":"ITE journal","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Crowds; Transit (satellite); Business; Anticipation (artificial intelligence); Transport engineering; Event (particle physics); Track (disk drive); Public transport; Marketing; Computer science; Geography; Engineering","score_opus":0.052467023593782226,"score_gpt":0.2927112137591018,"score_spread":0.2402441901653196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W648714500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93573207,0.0012508049,0.000091490874,0.0056162076,0.0010731132,0.00007795538,6.008051e-7,0.00001466999,0.056143083],"genre_scores_gemma":[0.9912603,0.00071099866,0.00009505262,0.00053983484,0.0005531959,7.416198e-7,9.7266756e-8,0.000004345752,0.006835457],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993884,0.00007452606,0.000115461975,0.000050455794,0.00017674759,0.00019442545],"domain_scores_gemma":[0.9996663,0.000037575286,0.00006376329,0.00005463871,0.000032421834,0.00014531353],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00094555767,0.000050274375,0.00008537451,0.000032482047,0.00032413646,0.000079849786,0.0001390885,0.00004257303,0.0012115468],"category_scores_gemma":[0.00004891603,0.000028309183,0.000067952074,0.000055540248,0.0002692883,0.00020447545,0.000007265297,0.00017540838,0.000023634606],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071139756,0.0001682535,0.05350586,0.000009357973,0.0002117385,0.00015317458,0.61745226,6.30269e-7,0.00040764475,0.05097911,0.053333867,0.22306673],"study_design_scores_gemma":[0.0021312914,0.000055843535,0.11810452,0.000052749194,0.00007320382,0.00016279641,0.0046904744,0.000004491022,0.00018290457,0.015464957,0.8589187,0.00015806647],"about_ca_topic_score_codex":0.0002542661,"about_ca_topic_score_gemma":0.00039071133,"teacher_disagreement_score":0.80558485,"about_ca_system_score_codex":0.0000120893465,"about_ca_system_score_gemma":0.000073521776,"threshold_uncertainty_score":0.9997015},"labels":[],"label_agreement":null},{"id":"W659011609","doi":"","title":"A Comparative Analysis of Civil Engineering Program Standards in Canada, the United States and Europe","year":2009,"lang":"en","type":"article","venue":"ITE journal","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Accreditation; Bachelor; Bologna Process; Bologna declaration; Engineering education; Engineering; Civil engineering; Engineering ethics; Political science; Higher education; Engineering management; Law","score_opus":0.006830788424870356,"score_gpt":0.24016318602646353,"score_spread":0.23333239760159316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W659011609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979549,0.000496249,0.00091704464,0.00015944267,0.000103176935,0.000060960087,0.00001065111,0.000027093318,0.0002704476],"genre_scores_gemma":[0.99924606,0.00032261582,0.00036281915,0.000031854353,0.000012640601,0.0000025091986,0.000007717652,0.0000043597956,0.000009402374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994119,0.000013608158,0.00020925554,0.000045607838,0.0001846385,0.0001349813],"domain_scores_gemma":[0.999722,0.000030389461,0.000029649596,0.000056109428,0.00009743833,0.00006440861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017177542,0.00008293374,0.00016634716,0.00027800325,0.000021490363,0.000031992593,0.000070900875,0.000011448397,0.000029564686],"category_scores_gemma":[0.000015459185,0.000061364524,0.000019659488,0.0011879584,0.000006107903,0.00003711518,0.000004720899,0.00018254611,1.4312629e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018724734,0.0000143044135,0.003290319,0.00000889663,0.00019545342,0.000005794326,0.0014775,0.9914642,0.00008892873,0.000026177682,0.0019446338,0.0014819372],"study_design_scores_gemma":[0.0001335364,0.000018643559,0.5216463,0.00004194138,0.000057598583,0.000012594164,0.00046550357,0.4533452,0.000101788195,0.000003404723,0.024071632,0.00010180268],"about_ca_topic_score_codex":0.0067437533,"about_ca_topic_score_gemma":0.15538074,"teacher_disagreement_score":0.53811896,"about_ca_system_score_codex":0.00022094503,"about_ca_system_score_gemma":0.00015143737,"threshold_uncertainty_score":0.9998704},"labels":[],"label_agreement":null},{"id":"W762664761","doi":"","title":"Speed Compliance in School and Playground Zones","year":2009,"lang":"en","type":"article","venue":"ITE journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Speed limit; Fencing; Environmental science; Geography; Transport engineering; Engineering; Computer science","score_opus":0.01692160550294977,"score_gpt":0.2360956777828295,"score_spread":0.21917407227987973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W762664761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99156994,0.0019021848,0.0014343354,0.00035549217,0.00024205037,0.000032787942,0.0000010916505,0.0000558051,0.00440634],"genre_scores_gemma":[0.99818766,0.0004379758,0.0009736276,0.00007549516,0.0001853475,8.380319e-8,3.0371527e-7,0.0000057966977,0.00013369926],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999607,0.0000072638177,0.00013190486,0.000047045814,0.00006752098,0.00013926657],"domain_scores_gemma":[0.99983525,0.00001033092,0.000013952986,0.000043687236,0.000008763209,0.00008800264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007922534,0.000063970896,0.00008988166,0.000054641176,0.00004143104,0.000042262276,0.0000517726,0.000034096043,0.000042092903],"category_scores_gemma":[0.0000060115103,0.000055826746,0.000017324195,0.000066125496,0.000009400467,0.00012935317,0.0000037420605,0.0002594806,0.000026971564],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022051929,0.00017821197,0.08897951,0.00013636067,0.000134557,0.0011982054,0.0025832823,0.2218784,0.014802093,0.0018927531,0.0346625,0.6333336],"study_design_scores_gemma":[0.00070314656,0.000030060583,0.97529143,0.000103904444,0.0000039438496,0.00051958114,0.000071050876,0.01716095,0.000039553724,0.000612283,0.0053326543,0.00013142421],"about_ca_topic_score_codex":0.0000011595242,"about_ca_topic_score_gemma":0.0000055127966,"teacher_disagreement_score":0.88631195,"about_ca_system_score_codex":0.00003378531,"about_ca_system_score_gemma":0.0000070955266,"threshold_uncertainty_score":0.22765486},"labels":[],"label_agreement":null},{"id":"W776961237","doi":"","title":"MUNICIPAL MERGERS: THE NEW CITY OF TORONTO EXPERIENCE","year":2000,"lang":"en","type":"article","venue":"ITE journal","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Restructuring; Business; Government (linguistics); Local government; Credibility; Service delivery framework; Public relations; Action plan; Service (business); Finance; Marketing; Public administration; Management; Political science; Economics; Medicine","score_opus":0.007298584141969112,"score_gpt":0.23210165306073435,"score_spread":0.22480306891876525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W776961237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717614,0.0016233386,0.00086543197,0.00012460814,0.00025143728,0.00003977952,7.017591e-7,0.00002610249,0.025307195],"genre_scores_gemma":[0.99829435,0.0003915974,0.0003473428,0.000055650333,0.0002525488,7.9850236e-7,1.9028835e-7,0.00000728866,0.0006502555],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99937415,0.000025267409,0.00021608842,0.000052970896,0.00015171677,0.00017979302],"domain_scores_gemma":[0.99963474,0.000028087947,0.00002483906,0.00019404477,0.00003017098,0.000088130815],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001288053,0.000080326296,0.00010596736,0.000007944082,0.00008477337,0.000036763136,0.00022147434,0.00003991491,0.009417708],"category_scores_gemma":[0.00001761807,0.000052923013,0.0000748232,0.000048847058,0.000046555444,0.00032349527,0.000010210888,0.00018397564,0.000002804693],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017618276,0.000091109854,0.008636111,0.00006954709,0.00030856646,0.000041591487,0.15182453,0.08645633,0.008443197,0.00069935224,0.051943634,0.69130987],"study_design_scores_gemma":[0.0008236728,0.00013588273,0.07192648,0.000042415926,0.000045932622,0.00025885124,0.010797855,0.010710466,0.0030647053,0.011750138,0.89000523,0.0004383703],"about_ca_topic_score_codex":0.00061361503,"about_ca_topic_score_gemma":0.00024181089,"teacher_disagreement_score":0.8380616,"about_ca_system_score_codex":0.00012187028,"about_ca_system_score_gemma":0.00002941998,"threshold_uncertainty_score":0.9914878},"labels":[],"label_agreement":null}]}