{"meta":{"query_hash":"73c15a8b299c","filters":{"venue":"The Open Transportation Journal"},"cohort_total":16,"direct_labels_cover":0,"predictions_cover":16,"exported":16,"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/73c15a8b299c","api":"https://metacan.xera.ac/api/v1/cohort?venue=The+Open+Transportation+Journal"},"results":[{"id":"W1600083516","doi":"10.2174/1874447801004010009","title":"Prediction and Display of Delay at Road Border Crossings","year":2010,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Transports","keywords":"Transport engineering; Computer science; Service (business); Queue; Traffic congestion; Reliability (semiconductor); Operations research; Microsimulation; Engineering; Business; Computer network","score_opus":0.008045875119202186,"score_gpt":0.2454399974063869,"score_spread":0.2373941222871847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600083516","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":[0.9650641,0.00005078571,0.031221285,0.00015361619,0.0003566597,0.000179137,0.000024947436,0.0002222747,0.002727166],"genre_scores_gemma":[0.9984358,0.00016281258,0.00101998,0.000029630546,0.000037483784,0.000007784269,0.000012459562,0.000011113837,0.00028294433],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99954164,0.000008495748,0.00021128818,0.000055321747,0.00010614692,0.00007712045],"domain_scores_gemma":[0.99977815,0.00000805151,0.000054749024,0.00008263244,0.000031673266,0.00004475888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026428932,0.00006375369,0.00007368405,0.00003887948,0.00016050827,0.000084413536,0.00015605325,0.000037489663,0.000118098396],"category_scores_gemma":[0.0000027188942,0.000046213,0.000024489553,0.00005654168,0.00004783055,0.00031666213,0.000005535361,0.00019687029,0.0000013349163],"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":[0.00064455473,0.0002330178,0.052803956,0.00027909092,0.00068664906,0.00004654548,0.024201583,0.020638755,0.34734088,0.019525515,0.09202828,0.44157118],"study_design_scores_gemma":[0.0012959902,0.000074429205,0.8679788,0.000059869537,0.000119597345,0.00011196442,0.00024831804,0.013424174,0.008675439,0.00025882843,0.10757552,0.00017705609],"about_ca_topic_score_codex":0.00001888974,"about_ca_topic_score_gemma":0.00018681785,"teacher_disagreement_score":0.8151749,"about_ca_system_score_codex":0.000008182428,"about_ca_system_score_gemma":0.000007524222,"threshold_uncertainty_score":0.18845116},"labels":[],"label_agreement":null},{"id":"W2010840787","doi":"10.2174/1874447800701010001","title":"Transport Policy in Aging Societies: An International Comparison and Implications for Canada","year":2007,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Variety (cybernetics); Checklist; Transport policy; Context (archaeology); Developed country; Public economics; Selection (genetic algorithm); Business; Regional science; Political science; Economics; Public transport; Sociology; Psychology; Geography; Computer science","score_opus":0.047837963732927986,"score_gpt":0.4059211005104108,"score_spread":0.3580831367774828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010840787","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":[0.9723345,0.00006838566,0.0069567435,0.016809465,0.00021334969,0.00047402483,0.000077135155,0.000010848919,0.003055517],"genre_scores_gemma":[0.9980923,0.00007143253,0.0007472337,0.000494541,0.0002714417,0.000013287656,0.00006832543,0.000008262404,0.0002331751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988476,0.000040078696,0.0004665842,0.00015363992,0.00022805271,0.00026404994],"domain_scores_gemma":[0.99934924,0.0001075805,0.00016490657,0.00009515578,0.00012937424,0.0001537167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020471304,0.00008210622,0.00013587993,0.000063437175,0.00080769794,0.0001483233,0.00065673166,0.00004404335,0.00007168554],"category_scores_gemma":[0.000018300501,0.00006842696,0.00004141266,0.00022954807,0.00013462314,0.00083235133,0.0000020862217,0.00019153536,1.0805093e-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":[0.000054254993,0.000048230322,0.9632423,0.000004744959,0.000013933186,0.0000017481589,0.020046191,0.00008479793,0.000030372854,0.009516841,0.00015005251,0.006806551],"study_design_scores_gemma":[0.00049322046,0.000012327879,0.9645513,0.000013374443,0.00001585234,7.8117597e-7,0.011078941,0.000014110405,0.000025422263,0.005937805,0.017767148,0.000089711575],"about_ca_topic_score_codex":0.31244093,"about_ca_topic_score_gemma":0.96851844,"teacher_disagreement_score":0.6560775,"about_ca_system_score_codex":0.0001784769,"about_ca_system_score_gemma":0.001043998,"threshold_uncertainty_score":0.6921376},"labels":[],"label_agreement":null},{"id":"W2029437725","doi":"10.2174/1874447801004010061","title":"Effects of Shock Waves on Freeway Crash Likelihood","year":2010,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crash; Shock (circulatory); Shock wave; Volume (thermodynamics); Statistics; Dissipation; Environmental science; Traffic volume; Queue; Logistic regression; Mechanics; Econometrics; Physics; Mathematics; Transport engineering; Engineering; Computer science; Medicine","score_opus":0.004014839002046029,"score_gpt":0.20672471505385054,"score_spread":0.20270987605180452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029437725","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":[0.992646,0.00005715738,0.0024547954,0.0002090819,0.0008582447,0.00020678008,0.000009521048,0.00003888423,0.0035195746],"genre_scores_gemma":[0.99897176,0.00008094854,0.0006679427,0.000040252773,0.00012410132,0.0000044628346,0.0000048898787,0.00001960125,0.0000860473],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99939,0.00001912524,0.00023746202,0.00006116627,0.00015651365,0.00013573213],"domain_scores_gemma":[0.9996424,0.0000782105,0.000055295888,0.00011719628,0.00003315001,0.000073797935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021951637,0.00009513282,0.00013062134,0.000035225563,0.00010879339,0.000039076906,0.0003732196,0.00005280304,0.00019485467],"category_scores_gemma":[0.000006564667,0.000060909017,0.000066096276,0.00007876802,0.000029054283,0.0001447536,0.0000022948182,0.00043707868,0.000018126075],"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":[0.0006441862,0.0008556069,0.014738495,0.00070708373,0.0011161617,0.00023106442,0.030635495,0.21156959,0.41537648,0.025087016,0.01714899,0.28188983],"study_design_scores_gemma":[0.0017997769,0.00015327615,0.9246121,0.00013571802,0.00010802318,0.00002804803,0.00022464148,0.0009817017,0.065207094,0.0016070608,0.004905697,0.00023687951],"about_ca_topic_score_codex":0.0000063227512,"about_ca_topic_score_gemma":0.000115965486,"teacher_disagreement_score":0.9098736,"about_ca_system_score_codex":0.0000060901802,"about_ca_system_score_gemma":0.000024452685,"threshold_uncertainty_score":0.24837977},"labels":[],"label_agreement":null},{"id":"W2051936196","doi":"10.2174/1874447801408010062","title":"The Impact of Cold and Snow on Weekday and Weekend Highway Total and Passenger Cars Traffic Volumes","year":2014,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; University of Regina","keywords":"Snow; Transport engineering; Variables; Environmental science; Traffic volume; Regression analysis; Variable (mathematics); Meteorology; Statistics; Geography; Engineering; Mathematics","score_opus":0.007932712737874915,"score_gpt":0.23486367444363235,"score_spread":0.22693096170575744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051936196","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":[0.99879473,0.00038999817,0.000057905123,0.0002990867,0.00006588436,0.00009787484,0.000013546936,0.000008086363,0.0002729076],"genre_scores_gemma":[0.99889225,0.0008150437,0.000047593974,0.0000093232,0.000044243923,0.0000026653954,0.0000016983114,0.000011185605,0.0001759966],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99953616,0.00003010271,0.00017283788,0.000060802948,0.0000884014,0.00011171836],"domain_scores_gemma":[0.9996569,0.00010840089,0.000050144485,0.00007889629,0.000023209033,0.00008242801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038176062,0.00008715048,0.000115565854,0.00002259516,0.00025752257,0.00011993317,0.000094849594,0.000030093288,0.000024585093],"category_scores_gemma":[0.000004899221,0.000045791425,0.000026544869,0.000048717236,0.00005797984,0.00019892705,0.000003031046,0.00017596145,5.349643e-7],"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":[0.00051666086,0.000092594724,0.034971066,0.00014045472,0.00055089797,0.000014764822,0.0148550775,0.3390062,0.027228048,0.0029069737,0.0063868663,0.5733304],"study_design_scores_gemma":[0.0012206236,0.00037528467,0.91048,0.00013492334,0.000044409662,0.00008116508,0.0004820766,0.08037825,0.0014827863,0.00009048602,0.005062016,0.00016796743],"about_ca_topic_score_codex":0.000022409067,"about_ca_topic_score_gemma":0.000034347406,"teacher_disagreement_score":0.87550896,"about_ca_system_score_codex":0.000007735058,"about_ca_system_score_gemma":0.000013816536,"threshold_uncertainty_score":0.19806814},"labels":[],"label_agreement":null},{"id":"W2073594854","doi":"10.2174/1874447801004010033","title":"LETTER FROM THE GUEST EDITORS-Driving Behavior and Traffic Safety in Traffic Engineering","year":2010,"lang":"en","type":"letter","venue":"The Open Transportation Journal","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Transport engineering; Traffic engineering; Computer science; Engineering; Business","score_opus":0.008374466162885048,"score_gpt":0.21080128420664473,"score_spread":0.2024268180437597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073594854","genre_codex":"commentary","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":[0.2859499,0.00090367085,0.014188654,0.6460271,0.04375349,0.004580828,0.00052006514,0.003558323,0.0005180158],"genre_scores_gemma":[0.8329116,0.0016720555,0.002093823,0.10154854,0.059765305,0.00041179734,0.0010287951,0.00037745043,0.00019064371],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983943,0.000063250394,0.00062597566,0.00023790642,0.0003429372,0.00033561586],"domain_scores_gemma":[0.999313,0.00016114891,0.0001274797,0.00030854795,0.00002868837,0.00006116144],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005464077,0.00035173973,0.0003215777,0.00014516329,0.00029847305,0.0003916389,0.00096572336,0.00054515153,0.000096507254],"category_scores_gemma":[0.0000078623825,0.00024339535,0.00010793933,0.00015396788,0.000060481212,0.0004131894,0.000022235385,0.005336604,0.000005474634],"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":[0.0000072465523,0.000012634584,0.00007706034,0.000023243307,0.00006986641,0.00015863824,0.0013285249,0.017575484,0.000085817686,0.000004679951,0.97408754,0.0065692514],"study_design_scores_gemma":[0.00049874024,0.000015356753,0.017121866,0.00021357754,0.00018372436,0.000030764422,0.000056127657,0.0045722234,0.00002161734,0.0000030132735,0.97696275,0.00032021393],"about_ca_topic_score_codex":0.000030715073,"about_ca_topic_score_gemma":0.000491152,"teacher_disagreement_score":0.5469617,"about_ca_system_score_codex":0.000060356757,"about_ca_system_score_gemma":0.000025055984,"threshold_uncertainty_score":0.99695814},"labels":[],"label_agreement":null},{"id":"W2084166621","doi":"10.2174/1874447800903010035","title":"Development of Improved Models for Imputing Missing Traffic Counts","year":2009,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Missing data; Computer science; Statistics; Econometrics; Transport engineering; Engineering; Mathematics; Machine learning","score_opus":0.024527762234361945,"score_gpt":0.26108628939675216,"score_spread":0.2365585271623902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084166621","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019423708,0.000057099274,0.97618544,0.000114936076,0.00012625204,0.00025014585,0.000003333928,0.00020880593,0.0036302751],"genre_scores_gemma":[0.95077497,0.000022001417,0.04909699,0.00003833413,0.000020348933,0.0000037603218,0.0000063842904,0.000006340819,0.00003088045],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996273,0.0000034583777,0.00020600852,0.00003488815,0.000058169513,0.000070198665],"domain_scores_gemma":[0.9998633,0.000005703353,0.000044530538,0.00003971639,0.00002548323,0.000021233207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024521942,0.000044984394,0.00006115718,0.000028971639,0.00008261826,0.000036510406,0.00014313351,0.000016722941,0.000010844549],"category_scores_gemma":[9.625577e-7,0.00003503833,0.000025203983,0.000039942977,0.000004724886,0.00013226812,8.0968755e-7,0.00005613259,4.961244e-7],"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":[0.000021320717,0.000018994022,8.382733e-7,0.000023417671,0.00004007222,5.507207e-7,0.0025513198,0.07619589,0.0036649865,0.0018318383,0.004120622,0.91153014],"study_design_scores_gemma":[0.0011157845,0.000057568308,0.00167338,0.00014392004,0.000065778186,0.0000072660496,0.00051189493,0.95692354,0.006534634,0.001901205,0.030849252,0.0002157983],"about_ca_topic_score_codex":1.7483691e-7,"about_ca_topic_score_gemma":0.0000020196558,"teacher_disagreement_score":0.93135124,"about_ca_system_score_codex":0.000014518616,"about_ca_system_score_gemma":0.000021116412,"threshold_uncertainty_score":0.14288217},"labels":[],"label_agreement":null},{"id":"W2096874229","doi":"10.2174/1874447801408010001","title":"Challenges and Opportunities in Applying High-Fidelity Travel Demand Model for Improved Network-Wide Traffic Estimation: A Review and Discussion","year":2014,"lang":"en","type":"review","venue":"The Open Transportation Journal","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Traffic generation model; Transport engineering; Estimation; Relation (database); Fidelity; Network planning and design; Resource (disambiguation); Key (lock); Operations research; Resource allocation; Trip generation; Data mining; Engineering; Computer security; TRIPS architecture; Real-time computing","score_opus":0.09028975996412685,"score_gpt":0.31557355276984367,"score_spread":0.2252837928057168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096874229","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012666599,0.76843786,0.2283603,0.00068584527,0.00006773725,0.0022198465,0.000025924595,0.00012527918,0.00007593512],"genre_scores_gemma":[0.0012307145,0.9935585,0.0039961296,0.00014234504,0.000053601314,0.0007921685,0.00012996304,0.000048541944,0.00004803344],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985005,0.00010288626,0.00087328773,0.00021517299,0.0001003721,0.00020777684],"domain_scores_gemma":[0.9993407,0.00009847235,0.00026495833,0.00016562002,0.000032409323,0.0000978488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001757386,0.00030556112,0.0010377527,0.000099590456,0.00016333096,0.00012705379,0.00028696904,0.00012431653,0.000003732485],"category_scores_gemma":[0.000010808892,0.00018379465,0.00011045704,0.00006187362,0.000039791146,0.00034440935,0.000012347734,0.00036674377,1.830406e-7],"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":[0.0000052204427,0.0000074305917,5.3094997e-8,0.017532578,0.00006439293,0.0000011252209,0.00022552865,0.009948131,3.6433658e-8,0.00097256666,0.0012688356,0.9699741],"study_design_scores_gemma":[0.001072962,0.00007698738,0.00011222403,0.050630283,0.0028029648,0.000060790786,0.0001722345,0.57399404,9.129534e-8,0.0020259875,0.36834458,0.0007068813],"about_ca_topic_score_codex":0.0000011750778,"about_ca_topic_score_gemma":0.000078796795,"teacher_disagreement_score":0.96926725,"about_ca_system_score_codex":0.000034015986,"about_ca_system_score_gemma":0.00004543704,"threshold_uncertainty_score":0.74949276},"labels":[],"label_agreement":null},{"id":"W2156491016","doi":"10.2174/1874447801004010036","title":"Expected Effects of In-Service Road Safety Reviews","year":2010,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Alberta Motor Association Foundation for Traffic Safety; Centre for Transportation Engineering and Planning","keywords":"Audit; Business; Transport engineering; Service (business); Popularity; Occupational safety and health; Poison control; Government (linguistics); Risk analysis (engineering); Marketing; Engineering; Medicine; Environmental health; Accounting","score_opus":0.00880951141472715,"score_gpt":0.23592528956546419,"score_spread":0.22711577815073702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156491016","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":[0.9927396,0.00071403844,0.0022365125,0.00030040412,0.0008138628,0.00053000555,0.000005225898,0.00003120833,0.0026290962],"genre_scores_gemma":[0.9979786,0.00084874145,0.0009772702,0.000057798163,0.00006176746,0.000010400754,0.000008919703,0.000014858854,0.00004159018],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992124,0.000045716417,0.00045163053,0.00006170457,0.00010596305,0.00012259529],"domain_scores_gemma":[0.9996266,0.000043701093,0.000088559944,0.0001479877,0.00003978913,0.000053360916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004484798,0.00009356868,0.00021240015,0.000040474682,0.00006679249,0.000021669488,0.00039990866,0.000049497346,0.00020158826],"category_scores_gemma":[0.000011017912,0.00006131172,0.000054402422,0.00023664472,0.000016691261,0.00020029447,0.0000028502147,0.00043501306,0.000015386304],"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":[0.00080638257,0.0004790092,0.02586696,0.0017346218,0.0003981444,0.00016991654,0.0743862,0.12923545,0.17162816,0.0063660024,0.0039480585,0.5849811],"study_design_scores_gemma":[0.0013415432,0.00002219023,0.9814834,0.00021069864,0.000041099345,0.000020409176,0.0001901531,0.0006687801,0.002452196,0.0001228753,0.01330339,0.00014325818],"about_ca_topic_score_codex":0.000039992636,"about_ca_topic_score_gemma":0.0012836788,"teacher_disagreement_score":0.9556165,"about_ca_system_score_codex":0.000009809462,"about_ca_system_score_gemma":0.000024060493,"threshold_uncertainty_score":0.25002193},"labels":[],"label_agreement":null},{"id":"W2164239436","doi":"10.2174/1874447801206010011","title":"Evidence on the Comparison of Telephone and Internet Surveys for Respondent Recruitment","year":2012,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"The Internet; Data collection; Respondent; Survey data collection; Survey methodology; Empirical evidence; Business; Marketing; Computer science; Statistics; World Wide Web; Political science","score_opus":0.7718417121634716,"score_gpt":0.5668666707742616,"score_spread":0.20497504138921008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164239436","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":[0.983878,0.0007121899,0.008730125,0.005177317,0.000390512,0.0007838415,0.000009546322,0.0000034097757,0.00031502108],"genre_scores_gemma":[0.9979341,0.0002287231,0.00081070414,0.00015939391,0.00008659357,0.000042862746,0.0000019488025,0.000004502168,0.00073117827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9834871,0.015709255,0.000306837,0.000075870295,0.0002403988,0.00018052837],"domain_scores_gemma":[0.98241717,0.017075974,0.00023887129,0.00009845559,0.0000988064,0.0000707425],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09842611,0.000058908852,0.0001424821,0.000030789473,0.0004797855,0.00005774169,0.00042484992,0.000043143544,0.0003447238],"category_scores_gemma":[0.0027495986,0.00003217583,0.00004451069,0.00011114834,0.00021421812,0.00024915097,0.0000063600114,0.00016971029,0.0000035177884],"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":[0.02344325,0.00040322417,0.43606606,0.000016630911,0.00022531366,0.0000022999118,0.43453798,0.000056479625,0.0033869667,0.04501489,0.0059274724,0.050919425],"study_design_scores_gemma":[0.0003029788,0.000195171,0.96957296,0.00008428955,0.00003858313,0.000001874846,0.011898623,0.000004796303,0.0061003375,0.00090253685,0.010838007,0.00005985107],"about_ca_topic_score_codex":0.00031915162,"about_ca_topic_score_gemma":0.0015630638,"teacher_disagreement_score":0.5335069,"about_ca_system_score_codex":0.000022953009,"about_ca_system_score_gemma":0.00009397849,"threshold_uncertainty_score":0.92836004},"labels":[],"label_agreement":null},{"id":"W2275821651","doi":"10.2174/1874447801004010023","title":"An Analysis of Baffles Designs for Limiting Fluid Slosh in Partly Filled Tank Trucks","year":2010,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Slosh dynamics; Baffle; Acceleration; Truck; Structural engineering; Mechanics; Engineering; Computational fluid dynamics; Transverse plane; Physics; Mechanical engineering; Automotive engineering","score_opus":0.023942596230756657,"score_gpt":0.2977577200204241,"score_spread":0.27381512378966744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275821651","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":[0.9056734,0.000010067921,0.09344776,0.00006195395,0.00016344934,0.00019532848,0.00007262926,0.00001250201,0.00036293452],"genre_scores_gemma":[0.99318683,0.000021077278,0.006565162,0.0000151309705,0.000044806933,0.00002133375,0.00010277119,0.000015809714,0.000027075253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924105,0.000025217652,0.00044957636,0.00007522315,0.00008859883,0.00012035632],"domain_scores_gemma":[0.9994605,0.00014620392,0.000085872554,0.00014569731,0.000111889014,0.00004979879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004358127,0.00008017915,0.00018419378,0.00023567771,0.00013721774,0.000098831944,0.00026591946,0.00004277577,0.0003293099],"category_scores_gemma":[0.0000199124,0.00006470649,0.00011504106,0.00036866628,0.000018423478,0.0004581023,0.0000012880329,0.00020899234,6.4018064e-7],"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":[0.000031918833,0.000031367294,0.005080524,0.0000047382237,0.00016831746,8.8735356e-7,0.0012610365,0.9418194,0.04841179,0.0019299518,0.00002922147,0.0012308436],"study_design_scores_gemma":[0.00042742532,0.00004472052,0.06458323,0.000014094443,0.00026523392,0.0000020599239,0.0007803489,0.9317589,0.0015755743,0.00034657147,0.000116319425,0.00008555469],"about_ca_topic_score_codex":0.000042104104,"about_ca_topic_score_gemma":0.0034904152,"teacher_disagreement_score":0.087513454,"about_ca_system_score_codex":0.000016905151,"about_ca_system_score_gemma":0.000025674037,"threshold_uncertainty_score":0.36057127},"labels":[],"label_agreement":null},{"id":"W2940323832","doi":"10.2174/1874447801913010025","title":"Effect of Community Road Infrastructure, Socio-Demographic and Street Pattern in Promoting Walking as Sustainable Transportation Mode","year":2019,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Greenhouse gas; Sustainable transport; Transport engineering; Land use; Neighbourhood (mathematics); Built environment; Geography; Context (archaeology); Business; Population; Poison control; Work (physics); Sustainability; Engineering; Environmental health; Civil engineering","score_opus":0.00965033707204342,"score_gpt":0.3095041322148501,"score_spread":0.2998537951428067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940323832","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":[0.9978953,0.000076483,0.00009787126,0.00025305062,0.00007334647,0.00096598634,0.00001639931,0.000013856241,0.00060770713],"genre_scores_gemma":[0.9996943,0.000057148314,0.000029847786,0.00004526436,0.000029522178,0.000012674464,0.000049006274,0.000014106207,0.00006811434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975797,0.000954535,0.0005776361,0.00014535067,0.00040944276,0.0003333274],"domain_scores_gemma":[0.9989721,0.00021740927,0.00039932717,0.00017354287,0.00014011099,0.00009747858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045770407,0.00015654735,0.0003289375,0.00011633831,0.00081405905,0.0001702879,0.00065094477,0.000108272245,0.0002220124],"category_scores_gemma":[0.00003317264,0.000116827665,0.000096830925,0.00041861838,0.00021395086,0.0012010838,0.000005502795,0.0007224363,7.713778e-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":[0.0001263438,0.000041507163,0.8977759,0.00016064155,0.000024517598,0.000007647731,0.083058216,0.00022166183,0.00014056344,0.00038942575,0.0000040381033,0.018049542],"study_design_scores_gemma":[0.001264602,0.00019869614,0.9613254,0.00012282399,0.00006305903,5.794903e-7,0.03038206,0.000034839297,0.00036514146,0.0060755047,0.00004046393,0.00012682613],"about_ca_topic_score_codex":0.028432794,"about_ca_topic_score_gemma":0.029324772,"teacher_disagreement_score":0.06354951,"about_ca_system_score_codex":0.000052480485,"about_ca_system_score_gemma":0.00018167014,"threshold_uncertainty_score":0.9883875},"labels":[],"label_agreement":null},{"id":"W3215654057","doi":"10.2174/1874447802115010217","title":"Reducing Vehicle Submersions and Consequent Fatalities on Highway I-75 in Florida (Alligator Alley): Effectiveness of a Cable Safety Barrier System","year":2021,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Alligator; Engineering; Transport engineering; Forensic engineering; Ecology; Biology","score_opus":0.010721894131878277,"score_gpt":0.21936617210528395,"score_spread":0.20864427797340568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215654057","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":[0.9963069,0.0004393882,0.0014203223,0.000085012965,0.00035180672,0.00023082402,0.00008000415,0.0000253699,0.0010603624],"genre_scores_gemma":[0.9994747,0.00021773609,0.00016800727,0.000010181133,0.000028013357,0.000011450672,0.000022345985,0.000017124254,0.000050432634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990403,0.0001724753,0.00036312963,0.00011408807,0.00015370872,0.00015628335],"domain_scores_gemma":[0.99951,0.00016527592,0.00005630473,0.00012354804,0.000059820813,0.00008504097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007425435,0.000108792075,0.00023845963,0.000044345463,0.00016585551,0.000044930657,0.00014287113,0.000047212357,0.00005514574],"category_scores_gemma":[0.000009266656,0.00008269316,0.000049559705,0.00013780002,0.00004522391,0.00017700577,0.000005826258,0.0002339203,0.0000018861114],"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":[0.0007123031,0.000050263014,0.0078612855,0.0008087053,0.00026541442,0.0002624953,0.008638561,0.94926095,0.018788178,0.011812775,0.00009735069,0.0014417075],"study_design_scores_gemma":[0.005959266,0.00014799552,0.8561379,0.0044072843,0.0001902694,0.0002673106,0.022078844,0.00913006,0.09959411,0.0003225612,0.0012014542,0.0005630026],"about_ca_topic_score_codex":0.00018293012,"about_ca_topic_score_gemma":0.000103626386,"teacher_disagreement_score":0.9401309,"about_ca_system_score_codex":0.000093320945,"about_ca_system_score_gemma":0.000111258516,"threshold_uncertainty_score":0.3372129},"labels":[],"label_agreement":null},{"id":"W4281684995","doi":"10.2174/18744478-v16-e2204220","title":"Risk Perception and Crash Involvement of Cell Phone Users While Driving Among Young Drivers in Developing Countries: The Case of Qatar","year":2022,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Crash; Phone; Risk perception; Human factors and ergonomics; Poison control; Aggressive driving; Logistic regression; Perception; Injury prevention; Occupational safety and health; Distracted driving; Suicide prevention; Applied psychology; Psychology; Computer security; Environmental health; Demography; Transport engineering; Medicine; Engineering; Computer science","score_opus":0.009326151930450432,"score_gpt":0.20770684299358244,"score_spread":0.198380691063132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281684995","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":[0.9957126,0.000063980515,0.0036288735,0.000097308446,0.00013211695,0.000228006,0.000036733196,0.000008309582,0.000092106275],"genre_scores_gemma":[0.9982172,0.0011461646,0.00056156766,0.000019464213,0.0000109880875,0.000009822676,0.000011267225,0.000011686868,0.000011792129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99921674,0.00008613491,0.0003627356,0.00007217786,0.00015352727,0.00010871811],"domain_scores_gemma":[0.99963576,0.000053474752,0.00016045051,0.000086052074,0.000032388056,0.000031867818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084329897,0.00007943305,0.00012730228,0.00006147699,0.0003735984,0.000026427959,0.00021075919,0.000018979988,0.00017474525],"category_scores_gemma":[0.0000023435443,0.00005727739,0.000032332853,0.00016745397,0.00006303407,0.00022201889,0.000013330381,0.00026693736,3.2179406e-7],"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":[0.000036128888,0.000022959322,0.31179217,0.000064426386,0.00006261188,0.00007361147,0.091402404,0.5949,0.0005892888,0.00012790997,0.00018499092,0.00074347365],"study_design_scores_gemma":[0.0010129539,0.000030309691,0.91996914,0.00005478742,0.00006811844,0.00006672583,0.07049902,0.0075263646,0.00030379617,0.000044217253,0.00031329232,0.00011126598],"about_ca_topic_score_codex":0.0006213967,"about_ca_topic_score_gemma":0.0041463478,"teacher_disagreement_score":0.608177,"about_ca_system_score_codex":0.00008893287,"about_ca_system_score_gemma":0.000052107272,"threshold_uncertainty_score":0.28734547},"labels":[],"label_agreement":null},{"id":"W4381838604","doi":"10.2174/18744478-v17-e230419-2022-6","title":"Willingness to Pay for Autonomous Vehicles before and after Crashes: A Demographic Analysis for US Residents","year":2023,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Willingness to pay; Pessimism; Demographics; Order (exchange); Business; Demographic economics; Economics; Demography; Finance","score_opus":0.030834427295342547,"score_gpt":0.3702602164336059,"score_spread":0.3394257891382634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381838604","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":[0.96742755,0.000019581998,0.026708508,0.004235021,0.00045994655,0.00084051065,0.00016590793,0.00004663547,0.00009634998],"genre_scores_gemma":[0.9941161,0.000012584132,0.00048388232,0.00078492693,0.000118353295,0.00054359506,0.00009813517,0.000022745793,0.003819643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884534,0.00007968728,0.00049413816,0.00021641921,0.00014131649,0.0002231018],"domain_scores_gemma":[0.99916357,0.00016969617,0.0001886131,0.00016657857,0.00018676564,0.00012477918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008932717,0.00011843599,0.00021942942,0.00032311655,0.00046867435,0.0002496825,0.00028526227,0.00006023132,0.00076057005],"category_scores_gemma":[0.000020069994,0.000078275865,0.00020460448,0.0005984456,0.000028758717,0.00024009292,0.0000055615465,0.000131436,0.000034543387],"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":[0.0021572309,0.00009818433,0.9251282,0.000045867168,0.0020000564,0.000024815985,0.043658372,0.0022841252,0.0001017825,0.003121135,0.005322954,0.016057234],"study_design_scores_gemma":[0.0010053539,0.00012243941,0.9865977,0.00002440242,0.00039006013,0.000008134047,0.0017250221,0.0006496787,0.00002247347,0.0021046342,0.007241731,0.00010836507],"about_ca_topic_score_codex":0.00008852083,"about_ca_topic_score_gemma":0.0031554413,"teacher_disagreement_score":0.06146946,"about_ca_system_score_codex":0.000017715793,"about_ca_system_score_gemma":0.000032334974,"threshold_uncertainty_score":0.8327709},"labels":[],"label_agreement":null},{"id":"W4408275042","doi":"10.2174/0126671212363303241230105828","title":"Adopting a Safe Systems Approach to Road Safety: Using the Consolidated Framework for Implementa- tion Research to Examine Injury Prevention and Transportation Professionals’ Perceptions of Vision Zero in Five Canadian Municipalities","year":2025,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Children's Hospital; Université de Montréal; Parachute; BC Children's Hospital; Public Health Ontario; York University","funders":"Canadian Institutes of Health Research","keywords":"Occupational safety and health; Business; Perception; Injury prevention; Poison control; Human factors and ergonomics; Seat belt; Suicide prevention; Transport engineering; Environmental health; Medicine; Engineering; Psychology","score_opus":0.18665871745550963,"score_gpt":0.5635029446929792,"score_spread":0.3768442272374696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408275042","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":[0.94190073,0.00012791547,0.03641298,0.008750142,0.00035973196,0.010959602,0.001023024,0.0000082307,0.00045766137],"genre_scores_gemma":[0.9895868,0.000095156414,0.007282843,0.00048336587,0.00008036633,0.0010798741,0.00051786005,0.000020960993,0.00085283275],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9951771,0.0019600485,0.0013858652,0.00027847828,0.00056147896,0.00063702295],"domain_scores_gemma":[0.99674016,0.0013332958,0.00028853284,0.00025434737,0.001089165,0.00029447026],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009600921,0.00014859994,0.00033152255,0.0006742708,0.0031979822,0.00007403937,0.00046893914,0.00017794203,0.000108411215],"category_scores_gemma":[0.00030236563,0.00010349972,0.000054616958,0.0011989615,0.00008828613,0.00031534338,0.00002382007,0.0010431004,0.0000034909506],"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":[0.022409895,0.0010662184,0.14375915,0.004700095,0.00041278708,0.0000071835566,0.44348848,0.04563112,0.0019400583,0.2534753,0.0099246735,0.073185034],"study_design_scores_gemma":[0.0015287562,0.00037319303,0.794662,0.003820475,0.000056483368,0.0000017801842,0.18978642,0.0024230182,0.000012730708,0.0036389625,0.0035349228,0.0001612517],"about_ca_topic_score_codex":0.073802605,"about_ca_topic_score_gemma":0.09218324,"teacher_disagreement_score":0.65090287,"about_ca_system_score_codex":0.0004971065,"about_ca_system_score_gemma":0.0027090805,"threshold_uncertainty_score":0.99809974},"labels":[],"label_agreement":null},{"id":"W602212038","doi":"10.2174/187444780701011087","title":"Transport Policy in Aging Societies: An International Comparison and Implications for Canada","year":2007,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Variety (cybernetics); Transport policy; Checklist; Context (archaeology); Developed country; Public economics; Business; Regional science; Political science; Economics; Public transport; Psychology; Sociology; Geography; Medicine; Computer science; Environmental health","score_opus":0.047837963732927986,"score_gpt":0.4059211005104108,"score_spread":0.3580831367774828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W602212038","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":[0.9723345,0.00006838566,0.0069567435,0.016809465,0.00021334969,0.00047402483,0.000077135155,0.000010848919,0.003055517],"genre_scores_gemma":[0.9980923,0.00007143253,0.0007472337,0.000494541,0.0002714417,0.000013287656,0.00006832543,0.000008262404,0.0002331751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988476,0.000040078696,0.0004665842,0.00015363992,0.00022805271,0.00026404994],"domain_scores_gemma":[0.99934924,0.0001075805,0.00016490657,0.00009515578,0.00012937424,0.0001537167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020471304,0.00008210622,0.00013587993,0.000063437175,0.00080769794,0.0001483233,0.00065673166,0.00004404335,0.00007168554],"category_scores_gemma":[0.000018300501,0.00006842696,0.00004141266,0.00022954807,0.00013462314,0.00083235133,0.0000020862217,0.00019153536,1.0805093e-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":[0.000054254993,0.000048230322,0.9632423,0.000004744959,0.000013933186,0.0000017481589,0.020046191,0.00008479793,0.000030372854,0.009516841,0.00015005251,0.006806551],"study_design_scores_gemma":[0.00049322046,0.000012327879,0.9645513,0.000013374443,0.00001585234,7.8117597e-7,0.011078941,0.000014110405,0.000025422263,0.005937805,0.017767148,0.000089711575],"about_ca_topic_score_codex":0.31244093,"about_ca_topic_score_gemma":0.96851844,"teacher_disagreement_score":0.6560775,"about_ca_system_score_codex":0.0001784769,"about_ca_system_score_gemma":0.001043998,"threshold_uncertainty_score":0.6921376},"labels":[],"label_agreement":null}]}