{"meta":{"query_hash":"d80c5e931ab2","filters":{"venue":"Transportation Research Part F Traffic Psychology and Behaviour"},"cohort_total":91,"direct_labels_cover":0,"predictions_cover":91,"exported":91,"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/d80c5e931ab2","api":"https://metacan.xera.ac/api/v1/cohort?venue=Transportation+Research+Part+F+Traffic+Psychology+and+Behaviour"},"results":[{"id":"W1505511839","doi":"10.1016/j.trf.2014.07.004","title":"The happy commuter: A comparison of commuter satisfaction across modes","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Public transport; Mode (computer interface); Perception; Transport engineering; Mode choice; Scale (ratio); Preference; Psychology; Business; Geography; Engineering; Computer science; Mathematics; Statistics","score_opus":0.13171811008404236,"score_gpt":0.49733101275595837,"score_spread":0.36561290267191604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505511839","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":[0.99597496,0.00025082385,0.00028064224,0.0020518538,0.0001961714,0.0003502419,0.00004483028,0.000059088594,0.0007913799],"genre_scores_gemma":[0.9992827,0.00024008655,0.00008572283,0.000051785686,0.00006913039,0.000055575947,0.000041491334,0.000008236536,0.00016525871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745226,0.0007459783,0.00048516787,0.00029670814,0.00051694916,0.00050296047],"domain_scores_gemma":[0.99860096,0.00058707374,0.00012247972,0.00032247088,0.00022926733,0.00013773402],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003168716,0.00011562082,0.00024100083,0.000058708556,0.0017899076,0.000068321555,0.0003361142,0.00020341405,0.00008777119],"category_scores_gemma":[0.000036460846,0.0000913088,0.00007636342,0.00028335978,0.0020440682,0.00019740016,0.0000051618927,0.00054642383,0.0000077740515],"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":[0.00015962592,0.0002163916,0.94061416,0.000015384023,0.0000157999,0.0000010490473,0.011930242,0.000034821256,0.00008839046,0.0021599983,0.0013585825,0.04340557],"study_design_scores_gemma":[0.0004987944,0.00013629695,0.9803424,0.000023722614,0.000018000574,1.3504281e-7,0.0038323295,0.00008679662,0.00007694693,0.0004168032,0.014468463,0.00009931413],"about_ca_topic_score_codex":0.0018261201,"about_ca_topic_score_gemma":0.094663255,"teacher_disagreement_score":0.09283713,"about_ca_system_score_codex":0.000014784729,"about_ca_system_score_gemma":0.000043872224,"threshold_uncertainty_score":0.99950963},"labels":[],"label_agreement":null},{"id":"W1963925967","doi":"10.1016/j.trf.2013.02.002","title":"Anger-provoking events in driving diaries: A content analysis","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Centre for Addiction and Mental Health","funders":"","keywords":"Coding (social sciences); Offensive; Anger; Causation; Psychology; Kappa; Content analysis; Perception; Social psychology; Computer science; Engineering; Mathematics; Statistics; Operations research","score_opus":0.08175724992137291,"score_gpt":0.3509663406538697,"score_spread":0.2692090907324968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963925967","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":[0.99780196,0.0003272385,0.000562952,0.0003247413,0.00016857209,0.0004343391,0.000016189048,0.0001757531,0.00018825471],"genre_scores_gemma":[0.9988855,0.00045713887,0.00013088342,0.000030345302,0.000030008705,0.00023041196,0.00009726625,0.000020924917,0.000117490556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829125,0.00011842243,0.00042518,0.00035393678,0.0002696489,0.000541551],"domain_scores_gemma":[0.9994196,0.00010576434,0.000027251897,0.00020316716,0.00008222597,0.00016197051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005498494,0.00016418746,0.00028596152,0.00055691414,0.00012905856,0.000019302961,0.00014857338,0.00019976746,0.00038383043],"category_scores_gemma":[0.000008477725,0.00015595084,0.00008858027,0.0007668061,0.00014422083,0.00019674168,0.000003789616,0.00055205007,0.000053804943],"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":[0.00002258979,0.00017710793,0.9733203,0.000028991066,0.00017579128,0.000029229901,0.0019414986,0.009689025,0.00029977039,0.000088378925,0.0007234917,0.01350384],"study_design_scores_gemma":[0.0007052582,0.00004733463,0.9956195,0.000027504182,0.000068001726,0.0000012367844,0.00054455735,0.0024845805,0.000016999724,0.0000307949,0.00029223724,0.00016204291],"about_ca_topic_score_codex":0.00014233931,"about_ca_topic_score_gemma":0.003200986,"teacher_disagreement_score":0.022299165,"about_ca_system_score_codex":0.000027207072,"about_ca_system_score_gemma":0.0000148822755,"threshold_uncertainty_score":0.6359491},"labels":[],"label_agreement":null},{"id":"W1969223028","doi":"10.1016/j.trf.2013.08.003","title":"Street racing and stunt driving in Ontario, Canada: Results of a web-based survey of car and racing enthusiasts","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Traffic Injury Research Foundation; McMaster University; York University; Centre for Addiction and Mental Health; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Aggressive driving; Engineering; Crash; Seriousness; Legislation; Dangerous driving; Context (archaeology); Transport engineering; Poison control; Computer security; Applied psychology; Geography; Advertising; Injury prevention; Psychology; Business; Environmental health; Medicine; Law; Political science; Computer science","score_opus":0.04037244846141178,"score_gpt":0.3024759090989907,"score_spread":0.2621034606375789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969223028","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":[0.9991201,0.00021341193,0.000022405176,0.00006560415,0.00007817316,0.0003170938,0.00010221605,0.000024269219,0.00005671547],"genre_scores_gemma":[0.99956703,0.00015619292,0.00011199645,0.0000066476723,0.000004906538,0.00002524417,0.00009798743,0.000013792324,0.000016227248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984714,0.00015845355,0.0005259746,0.00028105907,0.00023898456,0.0003241404],"domain_scores_gemma":[0.99927855,0.00027359437,0.000057098805,0.00014271268,0.00011923117,0.00012881486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007523939,0.00013995629,0.00030178466,0.00021033458,0.00006298132,0.000007815305,0.00007255576,0.00013610967,0.000034116056],"category_scores_gemma":[0.000021874574,0.0001375135,0.000017303932,0.00021439615,0.00018653015,0.00008913037,0.000004071949,0.00042512416,2.3118535e-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":[0.0001066508,0.00007896296,0.98472977,0.000080406804,0.000021144788,0.000019108646,0.0018607463,0.007719339,0.00064259634,0.0000057810626,0.00042232545,0.00431319],"study_design_scores_gemma":[0.002050079,0.00009498707,0.99531746,0.00012170159,0.000012238061,0.0000012159053,0.0003001156,0.0018244708,0.000121342855,9.894669e-7,0.000039833347,0.00011555901],"about_ca_topic_score_codex":0.6263463,"about_ca_topic_score_gemma":0.99485296,"teacher_disagreement_score":0.36850667,"about_ca_system_score_codex":0.000039202536,"about_ca_system_score_gemma":0.00021746247,"threshold_uncertainty_score":0.5607638},"labels":[],"label_agreement":null},{"id":"W1978200301","doi":"10.1016/j.trf.2013.08.005","title":"Travel behavior changes and responses to advanced traveler information in prolonged and large-scale network disruptions: A case study of west LRT line construction in the city of Calgary","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transport engineering; Downtown; Travel behavior; Geography; Scale (ratio); Public transport; Transit (satellite); Mode choice; Business; Engineering; Cartography","score_opus":0.0669889294303758,"score_gpt":0.4062854428031677,"score_spread":0.3392965133727919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978200301","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":[0.9971831,0.000068482994,0.00017952721,0.0005923066,0.000046082492,0.0018547694,0.000044868433,0.000012504626,0.000018357669],"genre_scores_gemma":[0.99852574,0.00024058155,0.0005960471,0.00003720077,0.000011669871,0.00051186857,0.000059625214,0.0000043254718,0.000012957489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983477,0.0004999674,0.00043325534,0.00020346843,0.00026734485,0.00024828725],"domain_scores_gemma":[0.99935466,0.00019355316,0.000098996854,0.000096122385,0.00017865087,0.0000780019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016608896,0.00009123932,0.00018706679,0.00032003812,0.00024493536,0.000022648006,0.00006717039,0.00013155406,0.000026607422],"category_scores_gemma":[0.000034950768,0.00008014253,0.000012766037,0.0006083776,0.00031868357,0.00029548482,0.0000021325807,0.00025598824,3.6545265e-7],"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":[0.0003045938,0.00056903355,0.8441118,0.000022088674,0.00000488924,0.000033330605,0.13676211,0.00031878313,0.000031462932,0.000116484385,0.000012315721,0.017713085],"study_design_scores_gemma":[0.0013521707,0.0004894392,0.9165612,0.000035924,0.000022017499,0.0000125636425,0.0813309,0.00008026877,0.0000032984794,0.000019447814,0.000023768704,0.00006899687],"about_ca_topic_score_codex":0.0030466253,"about_ca_topic_score_gemma":0.114699095,"teacher_disagreement_score":0.11165247,"about_ca_system_score_codex":0.000008085289,"about_ca_system_score_gemma":0.000039672883,"threshold_uncertainty_score":0.90145534},"labels":[],"label_agreement":null},{"id":"W2019694639","doi":"10.1016/j.trf.2014.09.001","title":"Psychosocial constructs and self-reported driving restriction in the Candrive II older adult baseline cohort","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Baycrest Hospital; University of Toronto; Ottawa Hospital; University Health Network; University of Waterloo; Centre for Interdisciplinary Research in Rehabilitation; Lakehead University; University of Manitoba; McGill University; University of Ottawa; Toronto Rehabilitation Institute; University of Victoria","funders":"Canadian Institutes of Health Research; University of Toronto; Transport Canada","keywords":"Psychosocial; Cohort; Baseline (sea); Psychology; Gerontology; Medicine; Clinical psychology; Psychiatry; Internal medicine; Political science","score_opus":0.06144152827551068,"score_gpt":0.4500946228671436,"score_spread":0.3886530945916329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019694639","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":[0.99196607,0.000069076494,0.000045177676,0.005142982,0.0005450876,0.0014942302,0.000025873042,0.00012265563,0.0005888328],"genre_scores_gemma":[0.9969009,0.0015145829,0.0001264318,0.0005355827,0.00018105886,0.00045190207,0.0000950623,0.000021523023,0.00017294142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957,0.0017600441,0.00072758365,0.0006346248,0.00050074153,0.00067699817],"domain_scores_gemma":[0.9980107,0.0009681232,0.00017637508,0.00030201534,0.00040450878,0.00013828854],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003529089,0.00020369385,0.00032822808,0.00028922115,0.0014667457,0.000014951791,0.00015381104,0.00033925215,0.00014089729],"category_scores_gemma":[0.00020571206,0.00016153205,0.000037698963,0.00054137217,0.00037027977,0.00011899357,0.000013025187,0.0014349069,0.000014351947],"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":[0.00003901088,0.00028194892,0.9800424,0.00005458716,0.000047517773,0.000019016563,0.010052357,0.000002997739,0.000046162528,0.00043181275,0.0075257146,0.0014564625],"study_design_scores_gemma":[0.0021915212,0.00019241852,0.99173766,0.00018863726,0.00007549078,0.0000047430563,0.0027915225,0.00006589487,0.0000015059845,0.00016589258,0.0024290103,0.00015570426],"about_ca_topic_score_codex":0.00048142258,"about_ca_topic_score_gemma":0.022810267,"teacher_disagreement_score":0.022328844,"about_ca_system_score_codex":0.000034436238,"about_ca_system_score_gemma":0.00009155677,"threshold_uncertainty_score":0.9998332},"labels":[],"label_agreement":null},{"id":"W2029187392","doi":"10.1016/j.trf.2010.06.008","title":"Driving in dangerous territory: Complexity and road-characteristics influence attentional demand","year":2010,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Neurotrauma Foundation","keywords":"Workload; Task (project management); Computer science; Cognition; Crash; Information processing; Driving simulator; Point (geometry); Cognitive psychology; Simulation; Psychology; Engineering","score_opus":0.044712595054666945,"score_gpt":0.343229218699607,"score_spread":0.29851662364494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029187392","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":[0.9987875,0.00009784042,0.00010700503,0.0002243526,0.00031673204,0.00020525156,0.00006225743,0.000119722805,0.00007931572],"genre_scores_gemma":[0.99911094,0.00026369328,0.0003356913,0.000024269702,0.00006750222,0.000041221992,0.00010850259,0.000017887036,0.00003030757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987318,0.00006875027,0.00031831439,0.00030790849,0.00020429239,0.00036894807],"domain_scores_gemma":[0.9995491,0.00006548923,0.000024689229,0.00014707586,0.000055314824,0.00015831715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054957083,0.00014400686,0.00019055992,0.00018116931,0.00016655496,0.000027808304,0.00010983423,0.00021850095,0.00007241918],"category_scores_gemma":[0.000010501835,0.00014740539,0.000025816718,0.00014543592,0.00048270938,0.00014420222,0.000005012105,0.00090830424,0.000008301152],"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":[0.000043291533,0.00016580157,0.97479284,0.000055039705,0.000016626185,0.000081583144,0.00076101144,0.0004801488,0.0035524115,0.00044299924,0.00040144174,0.019206826],"study_design_scores_gemma":[0.0006330979,0.00004426013,0.99691963,0.000033099022,0.000010135393,0.000016369282,0.000059553553,0.0007277386,0.0000129968075,0.00004860176,0.0013456092,0.00014891899],"about_ca_topic_score_codex":0.000030921354,"about_ca_topic_score_gemma":0.0031487357,"teacher_disagreement_score":0.0221268,"about_ca_system_score_codex":0.000009095099,"about_ca_system_score_gemma":0.000017598491,"threshold_uncertainty_score":0.6011017},"labels":[],"label_agreement":null},{"id":"W2029288532","doi":"10.1016/j.trf.2013.05.001","title":"Self-regulation of driving by older adults: Comparison of self-report and objective driving data","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital","funders":"Transport Accident Commission","keywords":"Global Positioning System; Applied psychology; Sample (material); Self driving; Exploratory research; Human factors and ergonomics; General partnership; Psychology; Poison control; Transport engineering; Engineering; Medicine; Environmental health; Business; Telecommunications","score_opus":0.08850290960717747,"score_gpt":0.47863421581387905,"score_spread":0.39013130620670156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029288532","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":[0.99656487,0.00040393745,0.00017171034,0.00067112263,0.00021062014,0.0016063511,0.00009281951,0.00012639636,0.00015215698],"genre_scores_gemma":[0.99764127,0.00043168484,0.001086956,0.000021563927,0.000047682548,0.00021494729,0.0003889242,0.00002798769,0.00013901741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964518,0.0006381817,0.0011352069,0.0007102878,0.0005125265,0.0005520313],"domain_scores_gemma":[0.9972289,0.00083929714,0.00046146568,0.0005858245,0.0007275805,0.00015693918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00151625,0.00020751527,0.0005284911,0.00024519183,0.0005601161,0.000009316156,0.00027186953,0.00031155266,0.00019443812],"category_scores_gemma":[0.00011745224,0.00019325886,0.00003584348,0.00033440164,0.00038301788,0.00038354704,0.000050927494,0.0007954524,0.000011136785],"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":[0.00002110371,0.0006819487,0.96585715,0.00037770523,0.00011293476,0.0000041669678,0.019065913,0.0000031389143,0.00057833263,0.000024210085,0.010961547,0.0023118276],"study_design_scores_gemma":[0.0015058476,0.00018964415,0.98964316,0.0005021834,0.00009887641,0.0000030154374,0.006900902,0.0005202041,0.00008805442,0.000023946699,0.00036813618,0.00015600825],"about_ca_topic_score_codex":0.00037025238,"about_ca_topic_score_gemma":0.0031043505,"teacher_disagreement_score":0.02378601,"about_ca_system_score_codex":0.000027083155,"about_ca_system_score_gemma":0.00010028866,"threshold_uncertainty_score":0.7880868},"labels":[],"label_agreement":null},{"id":"W2042163134","doi":"10.1016/j.trf.2012.12.004","title":"Uniquely satisfied: Exploring cyclist satisfaction","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Cycling; TRIPS architecture; Transport engineering; Intersection (aeronautics); Travel behavior; Mode (computer interface); Psychology; Applied psychology; Geography; Engineering; Computer science","score_opus":0.19182013646726148,"score_gpt":0.4388859418706435,"score_spread":0.24706580540338202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042163134","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":[0.9938817,0.00014838668,0.000048839473,0.002679349,0.0003643605,0.00065405515,0.000021637085,0.00018178148,0.0020198862],"genre_scores_gemma":[0.9977971,0.00072910415,0.0001855497,0.00010756991,0.00010848937,0.0003917633,0.0000605919,0.000015436877,0.000604451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976045,0.00038152252,0.0003845446,0.0004959609,0.0005300257,0.000603432],"domain_scores_gemma":[0.99902946,0.00014564283,0.00006409626,0.00021931002,0.00024628176,0.0002952206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012390753,0.00014160034,0.00018903031,0.00019842196,0.0009413994,0.00010047479,0.00018447413,0.00022211696,0.0022838886],"category_scores_gemma":[0.000026754675,0.00014166767,0.000062735664,0.00045832136,0.0008452738,0.0008402496,0.0000028431566,0.000562496,0.000109845685],"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":[0.00003367993,0.00012767046,0.93953055,0.000014735409,0.0000116149795,0.000013233203,0.0045500346,0.000004930561,0.00018268057,0.001818035,0.0028569868,0.050855853],"study_design_scores_gemma":[0.00039098534,0.00006709015,0.9913148,0.000020208758,0.000016054328,2.8679764e-7,0.001974357,0.0000029968376,0.000028852062,0.0011526569,0.004879324,0.00015237932],"about_ca_topic_score_codex":0.009480917,"about_ca_topic_score_gemma":0.042714234,"teacher_disagreement_score":0.051784262,"about_ca_system_score_codex":0.00003253905,"about_ca_system_score_gemma":0.00008855472,"threshold_uncertainty_score":0.99862814},"labels":[],"label_agreement":null},{"id":"W2050952926","doi":"10.1016/j.trf.2012.08.003","title":"How drivers adapt to drive in driving simulator, and what is the impact of practice scenario on the research?","year":2012,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Adaptation (eye); Task (project management); Driving simulator; Computer science; Precondition; Baseline (sea); Control (management); Quality (philosophy); Simulation; Applied psychology; Psychology; Artificial intelligence; Engineering","score_opus":0.1478522642473032,"score_gpt":0.5035119625773439,"score_spread":0.3556596983300407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050952926","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":[0.964005,0.00033428668,0.000026765521,0.033613585,0.0003237387,0.000881424,0.00001966731,0.000025265306,0.0007702729],"genre_scores_gemma":[0.9979539,0.00045670514,0.000023639548,0.0005930909,0.000074736745,0.00015398896,0.000013906144,0.000019658568,0.0007103984],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9960518,0.0018412814,0.0003827894,0.0004295149,0.00060158357,0.00069301255],"domain_scores_gemma":[0.9962025,0.002591278,0.0001139772,0.00046881087,0.0003792415,0.00024416007],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0046476917,0.00017421314,0.0002180263,0.00049694884,0.0004671892,0.00014477428,0.00026942175,0.00021010792,0.0010566297],"category_scores_gemma":[0.00021414523,0.00011163372,0.00008567791,0.0006731755,0.0006318859,0.0007382694,0.000013653591,0.0013219714,0.00008754864],"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":[0.0030751836,0.004258014,0.35926092,0.000033126093,0.0005125809,0.0001012591,0.39769518,0.0009880251,0.0008920486,0.028291523,0.14083366,0.06405847],"study_design_scores_gemma":[0.0008188108,0.00059011293,0.9438451,0.00008386387,0.00001792202,0.000011014167,0.03488765,0.000071322,0.000031039217,0.00004851273,0.019474167,0.00012048305],"about_ca_topic_score_codex":0.0002694952,"about_ca_topic_score_gemma":0.00050285656,"teacher_disagreement_score":0.5845842,"about_ca_system_score_codex":0.00005788503,"about_ca_system_score_gemma":0.000051924148,"threshold_uncertainty_score":0.99985653},"labels":[],"label_agreement":null},{"id":"W2056457043","doi":"10.1016/j.trf.2013.08.004","title":"The impact of motor vehicle injury on distress: Moderators and trajectories over time","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Posttraumatic Stress Disorder Research","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Victoria Hospital; London Health Sciences Centre; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Distress; Psychosocial; Psychology; Alcohol consumption; Population; Consumption (sociology); Clinical psychology; Medicine; Psychiatry; Environmental health; Alcohol","score_opus":0.06550322117933825,"score_gpt":0.4421447608727725,"score_spread":0.3766415396934342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056457043","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":[0.9968569,0.0005863125,0.0000033293054,0.0005551856,0.00010007265,0.0008852878,0.0003346071,0.000045132532,0.0006331474],"genre_scores_gemma":[0.9984586,0.0002581894,0.000009383946,0.000022440798,0.000034912333,0.0004258705,0.000058345846,0.000028999239,0.0007032395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739265,0.0005154395,0.00045244943,0.0004890686,0.00047193936,0.0006784204],"domain_scores_gemma":[0.99835336,0.00067259435,0.00008914864,0.00045894203,0.00018790268,0.00023805254],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006819018,0.00021696939,0.00028318682,0.00021431694,0.00039022372,0.00007174649,0.0002793987,0.00022764743,0.0018323475],"category_scores_gemma":[0.000042419946,0.00014985015,0.00009861814,0.00031160263,0.0011638814,0.0001392571,0.000009362187,0.00061873783,0.000112927766],"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":[0.0043735467,0.003790186,0.72935015,0.000095969815,0.0007471489,0.00006116322,0.010832671,0.000065027496,0.007975697,0.004726503,0.060947455,0.17703445],"study_design_scores_gemma":[0.001135485,0.001362195,0.9961717,0.00003077263,0.00001569268,0.0000024524395,0.00043227695,0.00012501863,0.0000704972,0.00039709214,0.000116703246,0.00014011886],"about_ca_topic_score_codex":0.001043912,"about_ca_topic_score_gemma":0.00015419193,"teacher_disagreement_score":0.26682153,"about_ca_system_score_codex":0.00002047188,"about_ca_system_score_gemma":0.00004616017,"threshold_uncertainty_score":0.9990801},"labels":[],"label_agreement":null},{"id":"W2096284664","doi":"10.1016/j.trf.2015.07.001","title":"Measuring drivers’ visual information needs during braking: A simulator study using a screen-occlusion method","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Brake; Driving simulator; Simulation; Control (management); Contrast (vision); Braking distance; Computer science; Automotive engineering; Psychology; Engineering; Computer vision; Artificial intelligence","score_opus":0.22907212618577757,"score_gpt":0.5043619873075518,"score_spread":0.2752898611217742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096284664","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":[0.9935037,0.00003558454,0.003461643,0.00020565152,0.0007730808,0.0009471792,0.00003082596,0.00024049832,0.0008018549],"genre_scores_gemma":[0.9989206,0.0000067170226,0.00035224334,0.000104889434,0.0001156338,0.00007459924,0.00009912045,0.000027382408,0.00029881176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99638015,0.0010235352,0.0008098156,0.0004021077,0.000808321,0.00057609443],"domain_scores_gemma":[0.99837816,0.00014497152,0.00020910524,0.00032172067,0.0005671007,0.00037892762],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024454647,0.0002506361,0.00032384493,0.0011699696,0.0006145254,0.00009413262,0.00021172885,0.0002849195,0.00095244765],"category_scores_gemma":[0.000053267082,0.00025757277,0.00008960678,0.0008023003,0.00014731895,0.0007720851,0.000019237828,0.0007846524,0.00020669],"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":[0.0049993433,0.005198201,0.6241076,0.00008539921,0.00052494626,0.00041253446,0.32096502,0.012439089,0.0016023206,0.0014088106,0.0034442572,0.024812492],"study_design_scores_gemma":[0.007016395,0.000776014,0.9340631,0.00005273394,0.000094139,0.000070851216,0.052042704,0.0030390744,0.00005136044,0.00002300409,0.0024081934,0.00036242817],"about_ca_topic_score_codex":0.00023924702,"about_ca_topic_score_gemma":0.000251655,"teacher_disagreement_score":0.3099555,"about_ca_system_score_codex":0.00009647859,"about_ca_system_score_gemma":0.00008903303,"threshold_uncertainty_score":0.99998766},"labels":[],"label_agreement":null},{"id":"W2108783611","doi":"10.1016/j.trf.2015.08.001","title":"Am stressed, must travel: The relationship between mode choice and commuting stress","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":193,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Stressor; SAFER; Public transport; Mode (computer interface); Mode choice; Stress (linguistics); Transport engineering; Psychology; Environmental health; Logistic regression; Public health; Social psychology; Engineering; Medicine; Computer science; Computer security; Clinical psychology","score_opus":0.3026307502475791,"score_gpt":0.49405775014657016,"score_spread":0.1914269998989911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108783611","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":[0.99383414,0.00041796372,0.000059204587,0.003983468,0.00012788897,0.00048954005,0.00014536502,0.00007471788,0.0008677094],"genre_scores_gemma":[0.99903226,0.00006995014,0.000046456706,0.00006055889,0.00020906942,0.000051337858,0.00017904601,0.000013861551,0.00033746602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973378,0.00072678877,0.000382467,0.00043240268,0.0005949333,0.0005255969],"domain_scores_gemma":[0.99794996,0.0011406974,0.00008555667,0.0002617677,0.00021093595,0.0003510657],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026444255,0.0001437849,0.0002045063,0.00012222494,0.0015071569,0.00009793883,0.0003336178,0.00025722903,0.000049473885],"category_scores_gemma":[0.00017061195,0.00011788336,0.000044540076,0.00046086282,0.0015108148,0.00030649203,0.0000060995685,0.00084145484,0.000006741548],"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":[0.000030532567,0.00008918312,0.98223215,0.000015042487,0.0000103837665,0.0000068250065,0.013755425,0.000019327377,0.0000022250688,0.0010233127,0.00061438617,0.0022012293],"study_design_scores_gemma":[0.0007394566,0.00006423145,0.9896697,0.000032026874,0.000046547186,2.3651691e-7,0.007446221,0.000016543168,0.0000046812975,0.0007830328,0.0010657653,0.00013157749],"about_ca_topic_score_codex":0.003160126,"about_ca_topic_score_gemma":0.038839146,"teacher_disagreement_score":0.03567902,"about_ca_system_score_codex":0.00002242955,"about_ca_system_score_gemma":0.00013504455,"threshold_uncertainty_score":0.99979275},"labels":[],"label_agreement":null},{"id":"W2117812994","doi":"10.1016/j.trf.2009.04.004","title":"Factors influencing car use for commuting and the intention to reduce it: A question of self-interest or morality?","year":2009,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":391,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Groninger Universiteitsfonds","keywords":"Theory of planned behavior; Psychology; Normative; Morality; Social psychology; Social norms approach; Normative social influence; Control (management); Altruism (biology); Locus of control; Perception; Economics","score_opus":0.13831822307465716,"score_gpt":0.4357344362246419,"score_spread":0.2974162131499848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117812994","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":[0.9942618,0.000012610815,0.00010823009,0.0046960604,0.000045396955,0.00081889215,0.00001624576,0.000020980182,0.000019754058],"genre_scores_gemma":[0.99905646,0.000053848686,0.00037138825,0.00030143515,0.000006177087,0.00006150954,0.00002889166,0.0000053266276,0.00011499211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873835,0.0002724295,0.00030685097,0.00028873305,0.00016881702,0.00022480174],"domain_scores_gemma":[0.99940574,0.00021112428,0.00006223197,0.00017562606,0.000033950226,0.00011135358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013133951,0.00009836351,0.00014467216,0.00005732808,0.0002444357,0.000023502102,0.00010897698,0.00007872249,0.000085856336],"category_scores_gemma":[0.000116317744,0.00006790893,0.000038838847,0.00017560343,0.00046305326,0.00018583135,0.000008019594,0.00019696236,0.0000018029726],"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":[0.0015461957,0.0008918075,0.94418997,0.000057328143,0.000020152627,0.0000030529475,0.03083336,0.00032796903,0.00387931,0.0011874585,0.0013324869,0.015730938],"study_design_scores_gemma":[0.00079103117,0.00032112852,0.99309635,0.000022815542,0.000022067681,0.0000013021833,0.0045181094,0.000071239076,0.00022133323,0.00012761363,0.0007333437,0.00007364349],"about_ca_topic_score_codex":0.00035700932,"about_ca_topic_score_gemma":0.0014047766,"teacher_disagreement_score":0.04890643,"about_ca_system_score_codex":0.000059234673,"about_ca_system_score_gemma":0.000012271469,"threshold_uncertainty_score":0.27692455},"labels":[],"label_agreement":null},{"id":"W2118812491","doi":"10.1016/j.trf.2009.11.004","title":"The effect of social desirability on self reported and recorded road traffic accidents","year":2009,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Spurious relationship; Psychology; Scale (ratio); Social desirability; Social desirability bias; Variance (accounting); Poison control; Response bias; Social psychology; Statistics; Mathematics; Medicine; Geography; Environmental health","score_opus":0.039736660263844134,"score_gpt":0.367264238233461,"score_spread":0.32752757796961685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118812491","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":[0.998151,0.0002454937,0.000009458464,0.00039376022,0.00019326068,0.00053904706,0.000017633252,0.00023643018,0.00021391977],"genre_scores_gemma":[0.99920315,0.0005690982,0.000028732482,0.00001517352,0.00004546403,0.00004089358,0.000040239956,0.00001668423,0.00004056857],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99788976,0.00030574357,0.00069136877,0.00036096,0.00032847215,0.00042369502],"domain_scores_gemma":[0.99921256,0.0002513846,0.000111115914,0.00023222182,0.00007337945,0.000119312936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019364859,0.00019628483,0.00032022467,0.000119325254,0.00041180817,0.000020672134,0.00014843374,0.00025550925,0.000019897096],"category_scores_gemma":[0.00004031636,0.0001449916,0.000085047606,0.00027749088,0.0002711834,0.00007170614,0.0000020631694,0.0005978906,0.000004143945],"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":[0.0027636488,0.00075770903,0.102927014,0.00018945402,0.0003235727,0.00012430285,0.005112171,0.004272294,0.00081573456,0.00024952364,0.0073757675,0.8750888],"study_design_scores_gemma":[0.0014062941,0.0009843828,0.9961353,0.00002067221,0.00006225584,0.0000068789795,0.00007341729,0.00036363793,0.00014217194,0.000016269674,0.0006535497,0.00013516404],"about_ca_topic_score_codex":0.0000067155115,"about_ca_topic_score_gemma":0.00017650836,"teacher_disagreement_score":0.89320827,"about_ca_system_score_codex":0.000019193163,"about_ca_system_score_gemma":0.000018246405,"threshold_uncertainty_score":0.5912586},"labels":[],"label_agreement":null},{"id":"W2146794202","doi":"10.1016/j.trf.2014.09.007","title":"The determinants of driving aggression among Polish drivers","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Anger; Narcissism; Aggression; Aggressive driving; Psychology; Personality; Scale (ratio); Social psychology; Poison control; Human factors and ergonomics; Geography; Medicine; Medical emergency","score_opus":0.0934861628869222,"score_gpt":0.47182676099076043,"score_spread":0.37834059810383824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146794202","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":[0.9981453,0.00007956258,0.0000460823,0.0005584556,0.0002609399,0.00017826025,0.000009496409,0.000023821012,0.0006981172],"genre_scores_gemma":[0.9984872,0.0007442707,0.000020686055,0.000015244353,0.00005980758,0.000025909696,0.00000832656,0.0000061715914,0.0006323794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840105,0.00046125046,0.0002697049,0.00020306614,0.00033044512,0.0003344839],"domain_scores_gemma":[0.99926543,0.00023146115,0.00009223758,0.00014969059,0.00014565521,0.00011550684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018755231,0.000064464584,0.00011086332,0.00009642846,0.0009876235,0.00003526993,0.00021472198,0.00011068701,0.00025165436],"category_scores_gemma":[0.000070853166,0.00005055288,0.0000683426,0.00017729188,0.0011557634,0.00011515348,0.000004925178,0.00023501388,0.0000070584338],"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":[0.000013171541,0.00009394543,0.9501444,0.000006053287,0.0000054968446,0.0000028781922,0.0030704744,0.0000027455408,0.000056911602,0.0007422957,0.0029087889,0.042952858],"study_design_scores_gemma":[0.00027241436,0.00011205851,0.9880939,0.00012653536,0.000012935886,2.774746e-7,0.0019289625,0.000031852058,0.00006661991,0.00013267927,0.009162852,0.000058878737],"about_ca_topic_score_codex":0.0005918724,"about_ca_topic_score_gemma":0.032490086,"teacher_disagreement_score":0.042893976,"about_ca_system_score_codex":0.0000087139915,"about_ca_system_score_gemma":0.000027185528,"threshold_uncertainty_score":0.98516446},"labels":[],"label_agreement":null},{"id":"W2149517093","doi":"10.1016/j.trf.2009.04.001","title":"Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS","year":2009,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":175,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Global Positioning System; Computer science; Route planning; Preference; Data collection; Process (computing); Operations research; Transport engineering; Engineering; Telecommunications","score_opus":0.35756635011564786,"score_gpt":0.4814967458865447,"score_spread":0.12393039577089682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149517093","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":[0.9971449,0.00038609855,0.00022779613,0.0014104691,0.00011776734,0.00053134706,0.000031839816,0.00006409363,0.000085681175],"genre_scores_gemma":[0.9993392,0.000041770818,0.00039060815,0.00007958192,0.0000613838,0.000040034676,0.000026490745,0.0000098088185,0.0000111178015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976966,0.00030540666,0.00045525772,0.00045736178,0.0005998863,0.0004854896],"domain_scores_gemma":[0.9985464,0.0007182473,0.00014240011,0.00020046119,0.00025043415,0.00014204865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016228306,0.00015817172,0.000305203,0.00016835275,0.00093212683,0.00006595662,0.00029753536,0.00013884752,0.000043766006],"category_scores_gemma":[0.00011476504,0.00012804523,0.000069596215,0.0006263081,0.00071572245,0.00040238805,0.0000018716526,0.00045366638,6.1714616e-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":[0.00042531991,0.00035951016,0.9607264,0.000031158,0.000014118238,0.000011711399,0.016587598,0.0005031968,0.00018510102,0.00014198177,0.00003312357,0.020980822],"study_design_scores_gemma":[0.00071923865,0.0002134719,0.98957807,0.00016351674,0.00005334084,2.1487709e-7,0.008156368,0.00059812074,0.00007388083,0.00020744256,0.000094886,0.00014147496],"about_ca_topic_score_codex":0.00037059703,"about_ca_topic_score_gemma":0.006784967,"teacher_disagreement_score":0.028851684,"about_ca_system_score_codex":0.000022297707,"about_ca_system_score_gemma":0.00015486065,"threshold_uncertainty_score":0.71692604},"labels":[],"label_agreement":null},{"id":"W2159319012","doi":"10.1016/j.trf.2013.09.010","title":"The impact of waiting time and other factors on dangerous pedestrian crossings and violations at signalized intersections: A case study in Montreal","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":216,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Pedestrian; Pedestrian crossing; Countdown; Intersection (aeronautics); Signal timing; Transport engineering; Computer science; Median; Simulation; Traffic signal; Engineering; Real-time computing","score_opus":0.059620631176752176,"score_gpt":0.3772426450615697,"score_spread":0.3176220138848175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159319012","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":[0.99901056,0.00016374647,0.0000064540864,0.00003386767,0.00003091937,0.00058932917,0.000046603538,0.000048396305,0.0000701078],"genre_scores_gemma":[0.999748,0.0000699871,0.000005655163,0.0000028296424,0.0000107723845,0.00006438069,0.000012239187,0.0000152287985,0.000070938164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990028,0.00013736571,0.00029052564,0.00020961429,0.00010827727,0.00025142837],"domain_scores_gemma":[0.9994404,0.00028151984,0.00003327081,0.00010929685,0.00004078478,0.00009475236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000350807,0.0001288931,0.00016559016,0.00015606763,0.00033719512,0.000037221365,0.000046419165,0.000098496996,0.00006983393],"category_scores_gemma":[0.000009108016,0.00008997517,0.000034163102,0.00016565973,0.0002527999,0.00008216244,0.0000034222912,0.00029330185,0.0000034508585],"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":[0.0002439229,0.00039158587,0.95927244,0.00001533959,0.000091589645,0.00012453494,0.020070864,0.004185033,0.0005193523,0.0000035531216,0.0004022815,0.01467947],"study_design_scores_gemma":[0.0012848849,0.00040353194,0.9913278,0.000022118527,0.00001681168,0.000042995027,0.003250714,0.0035361494,0.0000055998935,0.0000061041865,0.000016573691,0.00008670639],"about_ca_topic_score_codex":0.0055216937,"about_ca_topic_score_gemma":0.025794812,"teacher_disagreement_score":0.032055337,"about_ca_system_score_codex":0.000022813767,"about_ca_system_score_gemma":0.0000104342935,"threshold_uncertainty_score":0.9919819},"labels":[],"label_agreement":null},{"id":"W2470364505","doi":"10.1016/j.trf.2016.06.007","title":"Peer passenger norms and pressure: Experimental effects on simulated driving among teenage males","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Peer pressure; Poison control; Human factors and ergonomics; Injury prevention; Psychology; Suicide prevention; Occupational safety and health; Transport engineering; Engineering; Applied psychology; Simulation; Social psychology; Medical emergency; Medicine","score_opus":0.026997093676932413,"score_gpt":0.3316402153594927,"score_spread":0.30464312168256025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470364505","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":[0.99763066,0.00067046226,0.00008265199,0.00040302752,0.00027118716,0.00039269676,0.000033022166,0.0003005174,0.000215772],"genre_scores_gemma":[0.9985222,0.00035719294,0.000036054447,0.000022036249,0.00007443501,0.000056578763,0.000032896194,0.000039183364,0.00085942383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983817,0.00010913624,0.0002527842,0.00041492743,0.00036636184,0.0004751422],"domain_scores_gemma":[0.9992575,0.00025046815,0.00002306323,0.00019694256,0.00006642675,0.00020561005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004110719,0.0002132231,0.00021423717,0.00017115973,0.00019338597,0.000023780709,0.00010696089,0.00025867007,0.00013101996],"category_scores_gemma":[0.000012964132,0.00015084172,0.000045618857,0.00014040955,0.00030352405,0.00016559593,0.00000480871,0.00037506263,0.000025432346],"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":[0.00057387556,0.0009855815,0.8352612,0.0003007485,0.00039242994,0.0005395971,0.0046733543,0.007831943,0.03248094,0.0007125033,0.017333914,0.0989139],"study_design_scores_gemma":[0.001671996,0.0003035428,0.99113375,0.00012109586,0.00003093866,0.000003698579,0.00009000794,0.00035324047,0.0022667975,0.000006731779,0.0037891273,0.00022909191],"about_ca_topic_score_codex":0.0000053634853,"about_ca_topic_score_gemma":0.00006696022,"teacher_disagreement_score":0.15587252,"about_ca_system_score_codex":0.000012614222,"about_ca_system_score_gemma":0.000007706284,"threshold_uncertainty_score":0.6151147},"labels":[],"label_agreement":null},{"id":"W2537864931","doi":"10.1016/j.trf.2016.06.017","title":"The effect of fatigue driving on car following behavior","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Wuhan University of Technology; National Natural Science Foundation of China","keywords":"Standard deviation; Engineering; Simulation; Headway; Driving simulator; Automotive engineering; Mathematics; Statistics","score_opus":0.06388742457262477,"score_gpt":0.42301082689523933,"score_spread":0.3591234023226146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537864931","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":[0.9958484,0.00041163043,0.00004992739,0.0008252124,0.0011404683,0.00073819765,0.000031899875,0.000080115606,0.00087414234],"genre_scores_gemma":[0.99875706,0.00014459576,0.000012931428,0.000026688936,0.0000649612,0.00048942835,0.000024107352,0.00003395208,0.00044628902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969372,0.0008458836,0.00051394623,0.0005653087,0.00045666858,0.0006809815],"domain_scores_gemma":[0.9974215,0.0016934349,0.00011044284,0.0005220064,0.00008022912,0.00017238625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018959811,0.00022705087,0.000297604,0.0002254105,0.0004797942,0.000018464229,0.00031849294,0.00036510732,0.00031215654],"category_scores_gemma":[0.0000565235,0.00013114556,0.0001796063,0.00035435017,0.00056606566,0.00007789793,0.0000056909994,0.000594734,0.00009144993],"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":[0.0006842867,0.00032407747,0.71874535,0.0000053766853,0.00015129008,0.00018397733,0.0010296479,0.000006774761,0.0015077917,0.0014845725,0.0039245607,0.2719523],"study_design_scores_gemma":[0.004196805,0.0023866976,0.9901966,0.00028144495,0.00019478613,0.000004267242,0.0002540863,5.123202e-7,0.0012642092,0.000016039508,0.00097095745,0.00023359786],"about_ca_topic_score_codex":0.000038463782,"about_ca_topic_score_gemma":0.00020819542,"teacher_disagreement_score":0.27171868,"about_ca_system_score_codex":0.000017957911,"about_ca_system_score_gemma":0.000019102348,"threshold_uncertainty_score":0.53479606},"labels":[],"label_agreement":null},{"id":"W2602241837","doi":"10.1016/j.trf.2017.03.002","title":"Integrated strategies to accelerate the adoption of cycling for transportation","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":60,"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 Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Research Centre for the Humanities; University of Toronto","keywords":"Cycling; Promotion (chess); Behaviour change; Engineering; Population; Transport engineering; Process management; Psychology; Psychological intervention; Political science","score_opus":0.20056851101961734,"score_gpt":0.4926151618948403,"score_spread":0.29204665087522297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602241837","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":[0.9928729,0.000079737554,0.0013663685,0.003770731,0.0002791681,0.0010506645,0.00021726663,0.00004677831,0.00031637138],"genre_scores_gemma":[0.99863595,0.00020159209,0.00036651714,0.00005802893,0.000096857395,0.00020748454,0.00022920362,0.000012094312,0.00019228004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981929,0.0001716101,0.00044483616,0.00039308844,0.0003812755,0.00041626874],"domain_scores_gemma":[0.9987202,0.00016315294,0.00016438153,0.00033242963,0.0004785904,0.0001412049],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022295893,0.00012694736,0.00021210762,0.000120246004,0.0018849351,0.00016287135,0.0004955563,0.00019290052,0.00009011759],"category_scores_gemma":[0.000053659816,0.00010082344,0.000090957226,0.00021596435,0.0010176357,0.0005016946,0.0000015811279,0.00031592685,0.0000039872125],"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":[0.0019240982,0.00088225235,0.84972394,0.00019148258,0.00010500463,0.00001906542,0.056585275,0.0004910246,0.0039415527,0.021006435,0.0035541244,0.061575744],"study_design_scores_gemma":[0.0006166235,0.00016115309,0.9852484,0.0000481775,0.00004784758,5.349387e-8,0.00586949,0.000014950136,0.00018410242,0.0008620515,0.006828708,0.00011848031],"about_ca_topic_score_codex":0.0012963018,"about_ca_topic_score_gemma":0.056382254,"teacher_disagreement_score":0.13552442,"about_ca_system_score_codex":0.000014565551,"about_ca_system_score_gemma":0.00017801236,"threshold_uncertainty_score":0.9994145},"labels":[],"label_agreement":null},{"id":"W2611190275","doi":"10.1016/j.trf.2017.04.009","title":"Attitudes, driving behavior, and accident involvement among young male drivers in Saudi Arabia","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Socioeconomic status; Structural equation modeling; Psychological intervention; Psychology; Human factors and ergonomics; Injury prevention; Accident (philosophy); Poison control; Occupational safety and health; Safe driving; Suicide prevention; Traffic accident; Applied psychology; Environmental health; Transport engineering; Engineering; Medicine; Computer science; Psychiatry","score_opus":0.04962847822446437,"score_gpt":0.3549711863428669,"score_spread":0.30534270811840253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611190275","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":[0.99811476,0.00033730993,0.000054212098,0.00018194574,0.0003570871,0.0004983577,0.000018941013,0.00011616864,0.00032118565],"genre_scores_gemma":[0.9970664,0.002268399,0.00013899933,0.000013811723,0.000039985156,0.00016783955,0.00005926463,0.00002700256,0.00021829378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982296,0.00007233908,0.0003974051,0.00045812715,0.00030317085,0.0005393211],"domain_scores_gemma":[0.99923885,0.000041507672,0.00005708915,0.00036929626,0.00004887651,0.00024436077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007453506,0.00020379532,0.00024769467,0.0002345922,0.00051993266,0.00008719241,0.00026438694,0.00023954872,0.0001296756],"category_scores_gemma":[0.000010737319,0.0002125233,0.000046368245,0.0001023009,0.0005155972,0.00031463653,0.000014570985,0.0006589681,0.000010231449],"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":[0.000022061105,0.00015939702,0.9907149,0.000035398447,0.000020272011,0.00022559635,0.0010714558,0.00072162045,0.00012952673,0.00006955544,0.0009375698,0.0058926214],"study_design_scores_gemma":[0.001288996,0.000071239185,0.9973896,0.00008063611,0.000031044096,0.000010490333,0.0002823338,0.00016949975,0.000018996092,0.000009065475,0.0004343132,0.00021375397],"about_ca_topic_score_codex":0.00021461547,"about_ca_topic_score_gemma":0.02224721,"teacher_disagreement_score":0.022032596,"about_ca_system_score_codex":0.000043348107,"about_ca_system_score_gemma":0.000022167675,"threshold_uncertainty_score":0.9955942},"labels":[],"label_agreement":null},{"id":"W2746024364","doi":"10.1016/j.trf.2017.06.012","title":"Associations between personality and self-reported driving restriction in the Candrive II study of older drivers","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Toronto; University of Ottawa; Baycrest Hospital; University of Victoria; Lakehead University","funders":"Canadian Institutes of Health Research","keywords":"Conscientiousness; Extraversion and introversion; Agreeableness; Big Five personality traits; Openness to experience; Neuroticism; Personality; Hierarchical structure of the Big Five; Psychology; Clinical psychology; Psychosocial; Developmental psychology; Social psychology; Psychiatry","score_opus":0.1984387358121901,"score_gpt":0.5185466995517135,"score_spread":0.32010796373952344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746024364","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":[0.9961984,0.000023505687,0.000002523727,0.001758134,0.00016619153,0.0015263295,0.000073903146,0.00003998831,0.00021098771],"genre_scores_gemma":[0.9992741,0.00028944525,0.0000183316,0.000025922047,0.00005567206,0.00017587279,0.000050713752,0.000010560231,0.000099390985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700785,0.0010706732,0.00060687115,0.0004240673,0.00047845813,0.0004121128],"domain_scores_gemma":[0.9982054,0.0006771369,0.0003715542,0.0003945239,0.00027409382,0.00007727973],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002813677,0.00013097536,0.00032137858,0.00020586661,0.0029645097,0.000016583706,0.00022319477,0.00020423638,0.00004369727],"category_scores_gemma":[0.0001462126,0.00010612352,0.000032278855,0.00021557513,0.0002634022,0.00016527668,0.000023844823,0.0010242051,0.0000023738455],"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":[0.000009788923,0.00064963225,0.9337343,0.000021778622,0.00009127348,0.000011783176,0.0645017,0.0000023687608,0.000010466899,0.000029109853,0.0006569911,0.00028082324],"study_design_scores_gemma":[0.0020376698,0.00033718362,0.9822302,0.000081728984,0.00012399284,2.7876362e-7,0.014971847,0.000003515676,5.477991e-7,0.000044377844,0.00008027667,0.000088393295],"about_ca_topic_score_codex":0.0027191776,"about_ca_topic_score_gemma":0.06506806,"teacher_disagreement_score":0.06234888,"about_ca_system_score_codex":0.000041085434,"about_ca_system_score_gemma":0.00007499647,"threshold_uncertainty_score":0.9983335},"labels":[],"label_agreement":null},{"id":"W2795663693","doi":"10.1016/j.trf.2018.03.012","title":"Yielding behavior and traffic conflicts at cyclist crossing facilities on channelized right-turn lanes","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Channelized; Transport engineering; Traffic conflict; Poison control; Point (geometry); Computer science; Engineering; Medicine; Telecommunications; Environmental health; Traffic congestion; Mathematics","score_opus":0.07038593968761087,"score_gpt":0.3610098497020918,"score_spread":0.29062391001448096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795663693","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":[0.99683297,0.0004998467,0.000024772695,0.00027903097,0.0005674765,0.00043610716,0.00019316406,0.0004306334,0.00073597365],"genre_scores_gemma":[0.997826,0.0004946463,0.000060999973,0.000056135672,0.00018215165,0.00010823879,0.00013720557,0.000040793788,0.0010938525],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978886,0.00011053404,0.0004194548,0.00054667797,0.0003473608,0.0006873451],"domain_scores_gemma":[0.9991926,0.00015298818,0.000039921717,0.00024490932,0.00010730839,0.00026227004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050221494,0.00029392328,0.00032783972,0.000268354,0.00096330105,0.00009190085,0.00014910422,0.00035488862,0.00042071444],"category_scores_gemma":[0.000010165992,0.00026803065,0.000065569904,0.00021621994,0.0012201418,0.00014088576,0.000007092904,0.0005902429,0.0000687012],"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":[0.00871306,0.0050766775,0.30912468,0.0023051107,0.0010983086,0.0033412876,0.21760167,0.025289033,0.03463334,0.004276968,0.065553896,0.32298598],"study_design_scores_gemma":[0.0033406809,0.0007701882,0.9497549,0.00016269434,0.00009332145,0.0000651331,0.0010870191,0.0010028112,0.0010791406,0.000019585214,0.041947145,0.00067740376],"about_ca_topic_score_codex":0.000020872094,"about_ca_topic_score_gemma":0.0009305054,"teacher_disagreement_score":0.6406302,"about_ca_system_score_codex":0.000031220185,"about_ca_system_score_gemma":0.000020373496,"threshold_uncertainty_score":0.9999772},"labels":[],"label_agreement":null},{"id":"W2796303078","doi":"10.1016/j.trf.2018.03.005","title":"Crossing road intersections in old age—With or without risks? Perceptions of risk and crossing behaviours among the elderly","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"","keywords":"Perception; Context (archaeology); Vulnerability (computing); Cognition; Psychology; Human factors and ergonomics; Transport engineering; Poison control; Geography; Gerontology; Demography; Medicine; Environmental health; Computer security; Engineering; Computer science; Sociology","score_opus":0.10678177536767983,"score_gpt":0.45891309749667497,"score_spread":0.3521313221289951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796303078","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":[0.9986464,0.000068160865,0.00013219705,0.0002533984,0.00012620256,0.00050498254,0.00006902278,0.000048449874,0.0001511795],"genre_scores_gemma":[0.9993108,0.000112766145,0.000117289506,0.00001674182,0.000083558596,0.00005633716,0.000025224828,0.000014027239,0.0002632423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777865,0.00047491217,0.00041562098,0.00047143566,0.0003793649,0.00048000622],"domain_scores_gemma":[0.9990919,0.00016625068,0.00012571357,0.0002314403,0.00023150141,0.00015315722],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0019121361,0.00014594164,0.00024030804,0.00023052447,0.0026123514,0.00024198991,0.00021180682,0.00020967908,0.00025662518],"category_scores_gemma":[0.00003827206,0.000101809725,0.000050347422,0.00071274413,0.010348053,0.0003742701,0.0000045507654,0.00071069,0.000001548554],"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":[0.00027330712,0.00022807802,0.930932,0.000007284832,0.000009932877,0.000017020388,0.055494055,0.0000054554125,0.000037317066,0.00002391059,0.00003468566,0.012936958],"study_design_scores_gemma":[0.0008392412,0.00037982702,0.9827812,0.00008717216,0.00006655141,0.0000013323664,0.015527049,0.00001403823,0.000013743561,0.00006202886,0.00010288207,0.0001249369],"about_ca_topic_score_codex":0.030036565,"about_ca_topic_score_gemma":0.66904986,"teacher_disagreement_score":0.6390133,"about_ca_system_score_codex":0.00002331438,"about_ca_system_score_gemma":0.00016895383,"threshold_uncertainty_score":0.99868613},"labels":[],"label_agreement":null},{"id":"W2799847359","doi":"10.1016/j.trf.2018.04.007","title":"The effect of fuel prices on the driving patterns of older adults","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Centre for Interdisciplinary Research in Rehabilitation; McMaster University; McGill University; University of Victoria; University of Manitoba; Ottawa Hospital; University of Ottawa; Baycrest Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Toronto Rehabilitation Institute; University Health Network; Ottawa Hospital Research Institute","keywords":"Demographic economics; Economics; Psychology","score_opus":0.06958854971825566,"score_gpt":0.47390329547968907,"score_spread":0.4043147457614334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799847359","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":[0.99532074,0.00014646586,0.000016604448,0.0025905843,0.000354143,0.0011768109,0.000039919865,0.000032395597,0.00032234995],"genre_scores_gemma":[0.99877536,0.00044997342,0.000008102445,0.00006894868,0.00010889911,0.0002974479,0.00001076045,0.000016083874,0.0002644326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970864,0.0011385172,0.000534977,0.00031021595,0.00043423427,0.0004956202],"domain_scores_gemma":[0.99523157,0.0037710804,0.0002099276,0.00037634952,0.00034732223,0.00006376341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002813787,0.00014162436,0.00025176103,0.00010774774,0.0010933416,0.000005160884,0.00029511788,0.00015738622,0.00017774342],"category_scores_gemma":[0.00013913521,0.0000738889,0.00006261767,0.00023800711,0.0008254156,0.00004597055,0.000013924866,0.0007526211,0.000026902257],"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":[0.00026345055,0.000107993386,0.97821265,0.00021719259,0.000047739166,0.0000024232677,0.012488645,8.3266485e-7,0.000068666835,0.00022152868,0.0031339,0.005234946],"study_design_scores_gemma":[0.0011640687,0.001176153,0.9933563,0.0006914281,0.00003127946,2.804607e-7,0.0025105767,0.0000058788387,0.00020924685,0.00001910094,0.00077090506,0.00006479787],"about_ca_topic_score_codex":0.0001051502,"about_ca_topic_score_gemma":0.006725818,"teacher_disagreement_score":0.015143602,"about_ca_system_score_codex":0.000010544952,"about_ca_system_score_gemma":0.00003694538,"threshold_uncertainty_score":0.840921},"labels":[],"label_agreement":null},{"id":"W2800003971","doi":"10.1016/j.trf.2018.03.030","title":"The influence of roadway police justice on driver emotion","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Economic Justice; Psychology; Criminology; Applied psychology; Political science; Law","score_opus":0.04203043285063059,"score_gpt":0.36381156472813286,"score_spread":0.3217811318775023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800003971","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":[0.99813026,0.000078202494,0.00008804393,0.00026476185,0.00029360436,0.00019833798,0.000035097877,0.00011145479,0.000800238],"genre_scores_gemma":[0.9989333,0.00066763,0.000044972276,0.00004467511,0.00010465046,0.000022583426,0.000021503103,0.000015436372,0.00014522733],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988021,0.000095873045,0.0002781942,0.0002126134,0.00027067788,0.00034050437],"domain_scores_gemma":[0.9993168,0.00015745842,0.000030365467,0.00022749628,0.0001736448,0.00009419986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052266463,0.000113899594,0.00011977542,0.00011058446,0.0003500375,0.000011382607,0.00017373456,0.00014729376,0.000036962774],"category_scores_gemma":[0.000009544035,0.00008670121,0.00003570129,0.0002838715,0.00065396866,0.00007945087,0.0000023931382,0.00037282007,0.00004677749],"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":[0.0034989864,0.002465435,0.12865822,0.0007807027,0.0006079985,0.00009871794,0.059070747,0.28710723,0.018113881,0.027254721,0.13642196,0.3359214],"study_design_scores_gemma":[0.00047635386,0.00030531018,0.99183655,0.000036736594,0.000031550928,0.0000024073893,0.00034805582,0.0003317584,0.00020705033,0.000024029248,0.0063027265,0.000097447286],"about_ca_topic_score_codex":0.000031421027,"about_ca_topic_score_gemma":0.00051249017,"teacher_disagreement_score":0.8631784,"about_ca_system_score_codex":0.000010510604,"about_ca_system_score_gemma":0.000017436569,"threshold_uncertainty_score":0.3535573},"labels":[],"label_agreement":null},{"id":"W2807995561","doi":"10.1016/j.trf.2018.06.020","title":"Impact of smartphone distraction on pedestrians’ crossing behaviour: An application of head-mounted immersive virtual reality","year":2018,"lang":"en","type":"preprint","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Schema crosswalk; Distraction; Pedestrian; Pedestrian crossing; Computer science; Simulator sickness; Distracted driving; Crowds; Simulation; Virtual reality; Computer security; Human–computer interaction; Psychology; Transport engineering; Engineering","score_opus":0.08043009805692912,"score_gpt":0.44998743124516344,"score_spread":0.3695573331882343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807995561","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":[0.99320453,0.000100181,0.003399674,0.00005845031,0.00047274132,0.0008152766,0.0017254084,0.00014388758,0.00007986422],"genre_scores_gemma":[0.9961098,0.00030467534,0.00008884422,0.000003725701,0.00014101643,0.00010916928,0.0031690244,0.00005589601,0.000017880186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969701,0.00027747074,0.0009696656,0.0007429778,0.00054017844,0.0004996147],"domain_scores_gemma":[0.9982515,0.00011816793,0.00028733417,0.00067434873,0.00042401606,0.0002446559],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010040809,0.0003930016,0.00062077853,0.0004112176,0.00024176859,0.000034810684,0.00029931808,0.0008770377,0.00008381781],"category_scores_gemma":[0.000012449958,0.00038737073,0.0002479603,0.0003471905,0.0010142816,0.0001535025,0.000011182199,0.0014057044,0.00000772836],"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":[0.0066094566,0.007248884,0.5389296,0.0009800219,0.00087906094,0.0000705857,0.011721219,0.32930374,0.017927997,0.00028504676,0.003658616,0.082385756],"study_design_scores_gemma":[0.0011794488,0.0013002253,0.99340695,0.00016472444,0.0001289724,0.0000046486475,0.00028371334,0.00260996,0.0005431958,0.00003376693,0.000043197884,0.00030117863],"about_ca_topic_score_codex":0.000828447,"about_ca_topic_score_gemma":0.0011943126,"teacher_disagreement_score":0.45447737,"about_ca_system_score_codex":0.000113091184,"about_ca_system_score_gemma":0.00019218946,"threshold_uncertainty_score":0.99985784},"labels":[],"label_agreement":null},{"id":"W2899300211","doi":"10.1016/j.trf.2018.10.015","title":"Effects of non-driving-related-task modality and road geometry on eye movements, lane-keeping performance, and workload while driving","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; University of Michigan","keywords":"Driving simulator; Driving simulation; Workload; Curvature; Modality (human–computer interaction); Task (project management); Simulation; Poison control; Eye movement; Engineering; Computer science; Mathematics; Artificial intelligence; Geometry","score_opus":0.01810054797551081,"score_gpt":0.31215453500368523,"score_spread":0.2940539870281744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899300211","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":[0.99820733,0.00031314447,0.00013779996,0.00007059926,0.00022532571,0.00038052755,0.000015263144,0.00012236653,0.00052767125],"genre_scores_gemma":[0.9975886,0.0020546713,0.00009340555,0.000026473324,0.0000551918,0.000038226837,0.000028508573,0.000026836096,0.00008813874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837863,0.000082395054,0.0003882223,0.00041119845,0.00027469787,0.00046487155],"domain_scores_gemma":[0.9993998,0.00011432719,0.00005053167,0.00019014331,0.000070222486,0.00017498857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060947536,0.00020671602,0.00029681707,0.00030225274,0.00026575426,0.000018071927,0.00011192062,0.00026180432,0.000036928624],"category_scores_gemma":[0.000008432196,0.00019942176,0.00003692363,0.00033770708,0.00044709299,0.00014324416,0.0000090568865,0.00055454357,0.000009059019],"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":[0.00016611037,0.00041799137,0.8557625,0.00056720484,0.00018317318,0.000037489728,0.0031746645,0.0027888732,0.0033395465,0.00009329991,0.000493696,0.13297549],"study_design_scores_gemma":[0.0012963781,0.00041387428,0.9947311,0.00028241574,0.000036722722,0.0000025169186,0.00008948362,0.0024689953,0.00028975395,0.000012312605,0.00018665782,0.00018974024],"about_ca_topic_score_codex":0.000015149659,"about_ca_topic_score_gemma":0.00007847443,"teacher_disagreement_score":0.13896868,"about_ca_system_score_codex":0.000014083941,"about_ca_system_score_gemma":0.000013618525,"threshold_uncertainty_score":0.81321836},"labels":[],"label_agreement":null},{"id":"W2907823535","doi":"10.1016/j.trf.2018.12.015","title":"Self-reported driving violations as a putative mirror measure of real-world driving quality in individuals with and without Obstructive Sleep Apnea","year":2019,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Hôpital du Sacré-Cœur de Montréal; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Jewish General Hospital","funders":"","keywords":"Driving simulator; Psychology; Poison control; Obstructive sleep apnea; Injury prevention; Driving simulation; Human factors and ergonomics; Applied psychology; Simulation; Medicine; Medical emergency; Computer science","score_opus":0.06902121613080736,"score_gpt":0.41943014707905,"score_spread":0.35040893094824266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907823535","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":[0.9950777,0.00012475601,0.000037082205,0.00027772362,0.0001894671,0.0014723163,0.000050255192,0.000104619765,0.0026660578],"genre_scores_gemma":[0.99843985,0.00005573926,0.00086402247,0.00002960311,0.000013119273,0.00022881127,0.00015759654,0.00004118868,0.00017007874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99602276,0.0009530317,0.00089784764,0.0009346553,0.00057167036,0.00062000885],"domain_scores_gemma":[0.9981674,0.0004951788,0.00036601958,0.00042320834,0.0003300293,0.00021816464],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019631004,0.00029605944,0.0005762948,0.0007659803,0.00018052317,0.000026408166,0.00017954782,0.00040257777,0.0005275839],"category_scores_gemma":[0.000030680476,0.00027479974,0.00006517466,0.0011629794,0.00046173236,0.00023649991,0.0000096920685,0.0011219237,0.00003330988],"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":[0.00035286802,0.0005973643,0.97654575,0.000021547987,0.00045766617,0.000033209315,0.016255986,0.000039718772,0.00022379623,0.0016701303,0.000015265916,0.0037867106],"study_design_scores_gemma":[0.003989699,0.0004820282,0.99058837,0.00021884873,0.00015300768,0.000010813221,0.004048428,0.000024783292,0.000043071715,0.00011573327,0.000035113168,0.0002901138],"about_ca_topic_score_codex":0.0008856297,"about_ca_topic_score_gemma":0.008168026,"teacher_disagreement_score":0.014042623,"about_ca_system_score_codex":0.000033931854,"about_ca_system_score_gemma":0.0000789042,"threshold_uncertainty_score":0.99997044},"labels":[],"label_agreement":null},{"id":"W2945212258","doi":"10.1016/j.trf.2019.05.009","title":"Frequent versus occasional drivers: A hybrid route choice model","year":2019,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Toronto Metropolitan University","funders":"Polytechnique Montréal","keywords":"Latent variable; Latent class model; Population; Sample (material); Discrete choice; Logistic regression; Econometrics; Market segmentation; Computer science; Perception; Mixed logit; Travel behavior; Logit; Psychology; Artificial intelligence; Machine learning; Mathematics; Demography; Economics; Microeconomics","score_opus":0.27483628326502135,"score_gpt":0.3595903211856287,"score_spread":0.08475403792060737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945212258","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":[0.99523604,0.00030329643,0.00028009465,0.0006702003,0.00044936195,0.00034615802,0.0003362964,0.00003297546,0.002345607],"genre_scores_gemma":[0.9973422,0.00048480585,0.00027743692,0.00015105864,0.000046827718,0.00006062631,0.00034831115,0.000018461898,0.0012702545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849784,0.00003374144,0.00043675036,0.0005834596,0.00008680281,0.00036142793],"domain_scores_gemma":[0.99942154,0.000072951465,0.00010950206,0.00024450658,0.000021797097,0.00012970441],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006821555,0.00013479896,0.00023256402,0.00019067668,0.00014308505,0.00002598894,0.0001571347,0.0001292408,0.0016390882],"category_scores_gemma":[0.0000092437385,0.00016122138,0.000077078665,0.00009531804,0.0001581701,0.00026872847,0.000007589062,0.0003363717,0.001290821],"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":[0.0001790129,0.0003407446,0.9715175,0.000017530709,0.000054620235,0.0000090069925,0.0004715037,0.0071426504,0.00007553523,0.015255428,0.003339891,0.0015965886],"study_design_scores_gemma":[0.0029335846,0.00022022527,0.98173153,0.000010949501,0.000011559059,0.0000017576082,0.000101782556,0.007346552,0.000014850575,0.0012978382,0.0061112037,0.00021815351],"about_ca_topic_score_codex":0.00007512876,"about_ca_topic_score_gemma":0.00013450117,"teacher_disagreement_score":0.01395759,"about_ca_system_score_codex":0.00007156211,"about_ca_system_score_gemma":0.000021022799,"threshold_uncertainty_score":0.9994868},"labels":[],"label_agreement":null},{"id":"W299762813","doi":"10.1016/j.trf.2015.04.004","title":"Urban cyclists’ perspectives on post-collision behaviour change: A qualitative study","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Cycling; Behaviour change; Grounded theory; Psychology; Thematic analysis; Qualitative research; Reflexivity; Collision; Social psychology; Applied psychology; Computer security; Geography; Sociology; Psychological intervention; Computer science; Psychiatry","score_opus":0.2551934503696021,"score_gpt":0.5249239996184126,"score_spread":0.2697305492488105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W299762813","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":[0.99312323,0.0004205287,0.0000063998214,0.0030355172,0.0003601183,0.0017498144,0.0001494889,0.00016744056,0.0009874364],"genre_scores_gemma":[0.99801487,0.00011776647,0.00004051942,0.0001245996,0.0002804313,0.00040480212,0.00014285876,0.000025368992,0.0008487659],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.994745,0.001814832,0.00049080356,0.00094765564,0.0012746975,0.0007270191],"domain_scores_gemma":[0.9978488,0.00025131195,0.00011668669,0.00036364596,0.0008596692,0.0005599028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005123663,0.00024964538,0.00034954364,0.00038850107,0.00090413087,0.000094048206,0.00039100638,0.0002935577,0.0002071449],"category_scores_gemma":[0.000119699034,0.00023166786,0.00010289904,0.00079484336,0.0011666765,0.00048636858,0.00000660754,0.0008138576,0.000051535153],"study_design_candidate":"qualitative","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":[0.0005768091,0.0028719215,0.3797694,0.00000581434,0.000022312182,0.00009029469,0.6123577,0.0000015449956,0.000008191189,0.0007508747,0.0026544097,0.000890737],"study_design_scores_gemma":[0.001227569,0.000985962,0.60615534,0.000018858645,0.00003850623,2.3148577e-7,0.3902121,8.262684e-7,0.0000035461837,0.00008295737,0.001099887,0.00017421656],"about_ca_topic_score_codex":0.003498259,"about_ca_topic_score_gemma":0.020475008,"teacher_disagreement_score":0.22638594,"about_ca_system_score_codex":0.000095525655,"about_ca_system_score_gemma":0.00021990086,"threshold_uncertainty_score":0.9973988},"labels":[],"label_agreement":null},{"id":"W3004026590","doi":"10.1016/j.trf.2019.12.011","title":"The effects of secondary tasks that involve listening and speaking on young adult drivers with traits associated with autism spectrum disorders: A pilot study with driving simulation","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Active listening; Autism; Psychology; Human multitasking; Developmental psychology; Socialization; Autism spectrum disorder; Applied psychology; Clinical psychology; Cognitive psychology; Communication","score_opus":0.05364268157352553,"score_gpt":0.34009688110567843,"score_spread":0.2864541995321529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004026590","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":[0.99411094,0.000048518683,0.0002019304,0.0034535585,0.000033143286,0.0019026992,0.000021148646,0.00009878063,0.00012927054],"genre_scores_gemma":[0.9995279,0.0001335107,0.000020399442,0.000089788984,0.000011382449,0.000121275436,0.000015954058,0.000048305665,0.00003152403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964305,0.0006966382,0.00029966634,0.0008776833,0.0010254082,0.0006700612],"domain_scores_gemma":[0.9980155,0.0013302773,0.00018744657,0.0002136978,0.000037622012,0.00021545881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051093684,0.00028147403,0.00032311014,0.00021094515,0.00083498564,0.00010298201,0.00026878962,0.00008460605,0.000015408734],"category_scores_gemma":[0.00011704488,0.00018967033,0.000026971833,0.0008170848,0.0009812451,0.00029819502,0.000014332707,0.0011101858,0.0000015900732],"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":[0.0062634493,0.00228595,0.9505052,0.00015027793,0.0001781965,0.00055117934,0.028706562,0.0026288165,0.0016976577,0.0024357797,0.000021876307,0.004575034],"study_design_scores_gemma":[0.0052025225,0.02118797,0.96978706,0.0002422922,0.00007392263,0.0000057942557,0.0018049796,0.0010166507,0.0003273414,0.000102300124,0.000007640504,0.00024152713],"about_ca_topic_score_codex":0.00011687287,"about_ca_topic_score_gemma":0.017544474,"teacher_disagreement_score":0.026901582,"about_ca_system_score_codex":0.00002732878,"about_ca_system_score_gemma":0.000095674346,"threshold_uncertainty_score":0.97902286},"labels":[],"label_agreement":null},{"id":"W3125280614","doi":"10.1016/j.trf.2020.12.010","title":"Children’s street crossing performance when auditory information about traffic is lacking","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Headphones; Pedestrian; Pedestrian crossing; Computer science; Psychology; Transport engineering; Engineering","score_opus":0.032594229923405375,"score_gpt":0.31951671228031375,"score_spread":0.28692248235690837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125280614","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":[0.9970915,0.0007156138,0.00018999784,0.00027166514,0.00069309544,0.0002402708,0.0001477821,0.00037114468,0.00027898233],"genre_scores_gemma":[0.9972884,0.0013235835,0.00028323333,0.00013677953,0.00022595297,0.00004818634,0.00053768384,0.000029135266,0.00012701045],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99802387,0.0000898667,0.0005163679,0.00034227726,0.00042524995,0.0006023584],"domain_scores_gemma":[0.9992282,0.0000653945,0.000049827235,0.00027880684,0.00019301014,0.0001847787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048334713,0.00022823118,0.00024358626,0.00022076526,0.0005827873,0.00012210361,0.00016861479,0.0003128369,0.0002867278],"category_scores_gemma":[0.000009127727,0.00023994005,0.00008033388,0.00032271203,0.00033043764,0.00062509923,0.000005867828,0.00080342666,0.00007329934],"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":[0.00021787749,0.0005323145,0.35071886,0.0004901227,0.00026192318,0.00011277261,0.024454147,0.09028836,0.0003339966,0.00014816606,0.07827612,0.4541653],"study_design_scores_gemma":[0.0011405636,0.000072708994,0.9804136,0.000099442914,0.00003435986,0.00001693834,0.00036763062,0.001984337,0.00017750624,0.0000043674836,0.015410589,0.0002779402],"about_ca_topic_score_codex":0.00000825806,"about_ca_topic_score_gemma":0.0002543232,"teacher_disagreement_score":0.62969476,"about_ca_system_score_codex":0.00003633692,"about_ca_system_score_gemma":0.00010357617,"threshold_uncertainty_score":0.97844714},"labels":[],"label_agreement":null},{"id":"W3126403106","doi":"10.1016/j.trf.2021.01.002","title":"The influence of the frequency of cannabis use and of the five impulsivity traits on risky driving behaviors among young drivers","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; Cégep Marie-Victorin; Université de Montréal","funders":"Université de Montréal; McGill University","keywords":"Impulsivity; Sensation seeking; Cannabis; Big Five personality traits; Psychology; Driving under the influence; Trait; Personality; Poison control; Human factors and ergonomics; Injury prevention; Clinical psychology; Psychiatry; Social psychology; Medicine; Environmental health","score_opus":0.027219700190667773,"score_gpt":0.35071171022597963,"score_spread":0.32349201003531186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126403106","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":[0.9949718,0.0001982028,9.604448e-7,0.003862924,0.00009150304,0.0006832228,0.00015479789,0.0000070655024,0.000029534718],"genre_scores_gemma":[0.99818516,0.000503574,0.000010922536,0.000043379932,0.000012494794,0.00006283399,0.000010268428,0.000013316292,0.0011580297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99756396,0.0004710331,0.0004741754,0.00035419807,0.000772496,0.00036413304],"domain_scores_gemma":[0.9983278,0.00012355328,0.00018112574,0.0004696898,0.00074168266,0.00015614767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009678913,0.00013942327,0.000284119,0.000107318825,0.00039068225,0.000017059141,0.0002454739,0.00017173773,0.000028848906],"category_scores_gemma":[0.00026105126,0.000080785234,0.0001507532,0.0006382982,0.002423229,0.00009620278,0.000022880395,0.0007936167,2.2371282e-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":[0.00012461287,0.00030974802,0.9756354,0.000070153656,0.000042311203,0.000026036329,0.002367238,0.000118004325,0.01704567,0.0002211291,0.0019919341,0.0020477525],"study_design_scores_gemma":[0.0009173411,0.0002702887,0.99342096,0.00017450209,0.000096026495,0.000014434823,0.0010688312,0.000007030246,0.0037718995,0.00003288126,0.00015694292,0.00006885078],"about_ca_topic_score_codex":0.0014084473,"about_ca_topic_score_gemma":0.011594673,"teacher_disagreement_score":0.017785558,"about_ca_system_score_codex":0.000025704301,"about_ca_system_score_gemma":0.000343947,"threshold_uncertainty_score":0.89284885},"labels":[],"label_agreement":null},{"id":"W3165884229","doi":"10.1016/j.trf.2021.05.002","title":"The fast and the female: Gender differences in wellbeing and wage consequences of commute impedance","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Extant taxon; Wage; Duration (music); Demographic economics; Census; Economics; Labour economics; Demography; Sociology; Population","score_opus":0.12129969535499384,"score_gpt":0.42330352868678056,"score_spread":0.3020038333317867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165884229","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":[0.9914399,0.0041880626,0.000010990347,0.0035672686,0.00008582711,0.0002768355,0.000018958228,0.000011884533,0.00040027284],"genre_scores_gemma":[0.99256617,0.007096696,0.000028780527,0.00005298943,0.0000209918,0.000038876846,0.0000091621005,0.000003854631,0.00018247051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979517,0.0008007992,0.00032842375,0.00029926145,0.00030233516,0.00031750833],"domain_scores_gemma":[0.9987348,0.0008175261,0.000068829206,0.00015611126,0.00014471242,0.00007803318],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002600976,0.00008921978,0.00020456563,0.000047048456,0.0008676221,0.000066272005,0.00018752363,0.00010790408,0.000039863447],"category_scores_gemma":[0.000058354108,0.00005616194,0.000029157925,0.0003544633,0.005741931,0.00012242256,0.0000064640703,0.000391414,3.8107763e-7],"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":[0.00012816678,0.000067747584,0.9701403,0.000019425725,0.000013234394,0.000023782772,0.01668856,0.0000011184834,0.00010862794,0.0055997637,0.000027164546,0.0071821194],"study_design_scores_gemma":[0.00084194064,0.000024715526,0.9858409,0.00002784181,0.000018491008,0.000001036781,0.011629112,0.0000105398085,0.000047166846,0.0012138194,0.00027948667,0.00006490898],"about_ca_topic_score_codex":0.0008443855,"about_ca_topic_score_gemma":0.031920224,"teacher_disagreement_score":0.031075839,"about_ca_system_score_codex":0.000005109429,"about_ca_system_score_gemma":0.00011747304,"threshold_uncertainty_score":0.99696386},"labels":[],"label_agreement":null},{"id":"W3208996606","doi":"10.1016/j.trf.2021.09.019","title":"The power and sensitivity of four core driver workload measures for benchmarking the distraction potential of new driver vehicle interfaces","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Distraction; Workload; Task (project management); Driving simulator; Computer science; Simulation; Distracted driving; Human–computer interaction; Engineering; Psychology","score_opus":0.10442052630070443,"score_gpt":0.4265252668498127,"score_spread":0.32210474054910826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208996606","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":[0.9947676,0.00034216445,0.0014618009,0.0021471009,0.000693795,0.00033341063,0.000058290836,0.000019497691,0.00017634197],"genre_scores_gemma":[0.9986867,0.0002516204,0.00006490453,0.000052684645,0.000062552266,0.00003358735,0.00003316957,0.000010057286,0.000804731],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982991,0.0004528035,0.00041618073,0.00031144716,0.00027581234,0.00024462614],"domain_scores_gemma":[0.9984744,0.00066443224,0.00016670626,0.00022865983,0.0003910061,0.00007477024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013143272,0.000110952395,0.00018080407,0.00007297691,0.0003945343,0.00002793655,0.00007883414,0.0001484812,0.00046177433],"category_scores_gemma":[0.000048810936,0.000079924605,0.000087997156,0.00016288651,0.0005038971,0.00009499799,0.0000065922504,0.00037710243,0.000004412723],"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":[0.007726788,0.0022512693,0.23202972,0.00015018563,0.0012741035,0.00025575727,0.048196234,0.0007569502,0.090633295,0.012677592,0.066205636,0.53784245],"study_design_scores_gemma":[0.001058514,0.00018524629,0.9897653,0.000044871733,0.00005955697,0.00003099315,0.0031680022,0.00014606764,0.0006033573,0.00015517804,0.004700621,0.000082282735],"about_ca_topic_score_codex":0.00007660629,"about_ca_topic_score_gemma":0.0015158145,"teacher_disagreement_score":0.7577356,"about_ca_system_score_codex":0.000008820991,"about_ca_system_score_gemma":0.000051001643,"threshold_uncertainty_score":0.5056105},"labels":[],"label_agreement":null},{"id":"W4200359576","doi":"10.1016/j.trf.2021.12.003","title":"Physiological markers of traffic-related stress during active travel","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":54,"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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stressor; Psychology; Applied psychology; Neuroscience","score_opus":0.13362006742798427,"score_gpt":0.46307091449137894,"score_spread":0.32945084706339467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200359576","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":[0.9966629,0.00055655034,0.0000055379105,0.00055097666,0.0005343592,0.00042417218,0.00048136496,0.0000683873,0.0007157439],"genre_scores_gemma":[0.99729687,0.00024721643,0.000051716317,0.00004433683,0.000042615065,0.00017024363,0.0004740531,0.000024571274,0.0016483478],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99677074,0.00071238214,0.0007573319,0.0007227959,0.00032745986,0.0007092885],"domain_scores_gemma":[0.99877,0.00011636455,0.00014244528,0.00036298842,0.00031691074,0.00029130123],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049612165,0.00020985764,0.00040291186,0.00024500233,0.00027811137,0.0000136231365,0.00019846628,0.0004755353,0.005557721],"category_scores_gemma":[0.000018070887,0.00020583053,0.00020272817,0.00058128365,0.00063498376,0.00010572932,0.000008046946,0.0010075564,0.00005907166],"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":[0.021987662,0.05521818,0.27476582,0.0012172745,0.0019677086,0.006451852,0.04526707,0.0010904183,0.056202088,0.015172168,0.04073528,0.4799245],"study_design_scores_gemma":[0.0023084157,0.00073637965,0.99182767,0.00009792949,0.000064629035,0.00002556204,0.0040181056,0.000008116866,0.0005354664,0.000023942615,0.00017251377,0.00018129329],"about_ca_topic_score_codex":0.00006976491,"about_ca_topic_score_gemma":0.00046126178,"teacher_disagreement_score":0.7170618,"about_ca_system_score_codex":0.000021579686,"about_ca_system_score_gemma":0.00007784238,"threshold_uncertainty_score":0.9953513},"labels":[],"label_agreement":null},{"id":"W4210332249","doi":"10.1016/j.trf.2022.01.007","title":"Investigating relationships among perceptions of yielding, safety, and comfort for pedestrians in unsignalized crosswalks","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Pedestrian; Perception; Transport engineering; Psychology; Applied psychology; Engineering","score_opus":0.13421495086113994,"score_gpt":0.3994200970631857,"score_spread":0.26520514620204577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210332249","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":[0.99792546,0.00005190075,0.00016811246,0.00090867653,0.000036022746,0.000642576,0.0001049631,0.000017587623,0.00014470915],"genre_scores_gemma":[0.9986177,0.00010592133,0.00045286646,0.00006338761,0.000009213672,0.0001936752,0.00011804347,0.000010573827,0.0004285918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845535,0.0002832342,0.00037964009,0.0003223807,0.00026173386,0.0002976431],"domain_scores_gemma":[0.99942553,0.00023518523,0.000081879785,0.00011894124,0.000016074684,0.00012240965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018707709,0.00008484373,0.0001682904,0.00014280442,0.0007799626,0.000009798872,0.00010172319,0.0000908619,0.0007629695],"category_scores_gemma":[0.000025118956,0.00009298081,0.000032023534,0.00036189458,0.000660491,0.00011130331,0.000013450933,0.00056986074,0.0000017644244],"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":[0.000089477726,0.0001271823,0.9920391,0.000014504477,0.000003471305,0.0000032271741,0.0038754945,0.0012902002,0.00029146826,0.00021089656,0.0013488256,0.0007061503],"study_design_scores_gemma":[0.0011479186,0.00028757704,0.994916,0.0000144559135,0.000014041602,0.0000025808472,0.0022249857,0.0003372418,0.000002991121,0.0002762359,0.00069081964,0.00008514],"about_ca_topic_score_codex":0.0011140013,"about_ca_topic_score_gemma":0.025199711,"teacher_disagreement_score":0.02408571,"about_ca_system_score_codex":0.000038282575,"about_ca_system_score_gemma":0.00003229673,"threshold_uncertainty_score":0.99258786},"labels":[],"label_agreement":null},{"id":"W4210479635","doi":"10.1016/j.trf.2021.12.007","title":"How to identify the take-over criticality in conditionally automated driving? An examination using drivers’ physiological parameters and situational factors","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Situational ethics; Criticality; Situation awareness; Automation; Computer science; Computer security; Simulation; Engineering; Psychology; Social psychology","score_opus":0.193081594551805,"score_gpt":0.49693211770783713,"score_spread":0.3038505231560321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210479635","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":[0.99638957,0.000012695369,0.0002603534,0.002002384,0.00038308566,0.000560574,0.00020900505,0.00013104633,0.000051315175],"genre_scores_gemma":[0.9983711,0.0000050641734,0.000113926304,0.00045638392,0.000029578208,0.0002489193,0.0006209591,0.000013669826,0.00014038049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99639386,0.0017145624,0.00038955573,0.0005958817,0.0005307411,0.00037539544],"domain_scores_gemma":[0.99893206,0.00044842594,0.000084385814,0.00021331763,0.00015211948,0.00016969419],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015216554,0.00016008962,0.00019609186,0.0003743931,0.0007606659,0.00008970181,0.00019226864,0.00013959667,0.002431386],"category_scores_gemma":[0.00006695037,0.00014247464,0.00004980701,0.00042413032,0.00040398884,0.00028140374,0.000015852052,0.000694643,0.000009251264],"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":[0.0009311325,0.005676566,0.84303993,0.000048190268,0.00027432342,0.00033033642,0.06515612,0.0077879447,0.014623649,0.0339313,0.019876013,0.00832453],"study_design_scores_gemma":[0.00085761026,0.00028633696,0.9899139,0.000007665835,0.000018959174,0.000012081647,0.00635222,0.0016913404,0.00000734918,0.00020188617,0.00049935543,0.0001513275],"about_ca_topic_score_codex":0.00007332698,"about_ca_topic_score_gemma":0.00042233014,"teacher_disagreement_score":0.14687397,"about_ca_system_score_codex":0.000070430215,"about_ca_system_score_gemma":0.000036590485,"threshold_uncertainty_score":0.9984805},"labels":[],"label_agreement":null},{"id":"W4289783328","doi":"10.1016/j.trf.2022.07.015","title":"The relationship between simulator sickness and driving performance in a high-fidelity simulator","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Toronto Rehabilitation Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Driving simulator; Simulator sickness; Simulation; High fidelity; Fidelity; Computer science; Computer architecture simulator; Human–computer interaction; Engineering; Virtual reality","score_opus":0.11737673381353267,"score_gpt":0.4078255693857325,"score_spread":0.2904488355721998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289783328","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":[0.9950288,0.00012652903,0.0015405894,0.0027440554,0.00007046363,0.00039845568,0.000020489646,0.00005249598,0.000018104543],"genre_scores_gemma":[0.999422,0.000077496195,0.000120396544,0.000071844705,0.000022876126,0.00017954857,0.00003390482,0.000007974806,0.00006396697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793726,0.00041347515,0.0003814874,0.00044593477,0.0004161132,0.0004057396],"domain_scores_gemma":[0.99805343,0.0012526258,0.00006997381,0.00040158152,0.000073958596,0.00014844845],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0024984758,0.00010912834,0.00014995722,0.00017788682,0.0013596641,0.000085846696,0.00042845396,0.000077358636,0.000011249521],"category_scores_gemma":[0.00007222761,0.00009585746,0.000024151168,0.0007490614,0.0002486184,0.00029447582,0.00004045655,0.00073755154,0.000004448739],"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":[0.000026472124,0.00010552231,0.9693188,0.000008022832,0.0000050984972,0.0000050317713,0.0009432494,0.0034562724,0.000011424548,0.01042027,0.0001116986,0.01558814],"study_design_scores_gemma":[0.0006101601,0.00017513533,0.991985,0.000009383923,0.000005553977,0.0000021814476,0.00014293993,0.004326311,0.0000035030857,0.0010167382,0.0016197436,0.00010330448],"about_ca_topic_score_codex":0.00005841806,"about_ca_topic_score_gemma":0.00032732938,"teacher_disagreement_score":0.022666248,"about_ca_system_score_codex":0.000035105415,"about_ca_system_score_gemma":0.00007875018,"threshold_uncertainty_score":0.99994045},"labels":[],"label_agreement":null},{"id":"W4327694539","doi":"10.1016/j.trf.2023.03.008","title":"Behavioural modelling of automated to manual control transition in conditionally automated driving","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Canada Research Chairs; Government of Ontario","keywords":"Workload; Situation awareness; Control (management); Latent variable; Automation; Driving simulator; Distracted driving; Computer science; Applied psychology; Simulation; Engineering; Psychology; Distraction; Machine learning; Artificial intelligence; Cognitive psychology","score_opus":0.1264589120175628,"score_gpt":0.4635435024546804,"score_spread":0.3370845904371176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327694539","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":[0.99371487,0.000020315008,0.0012013001,0.0017836554,0.0004855849,0.00077302323,0.00033772763,0.0013574718,0.00032605734],"genre_scores_gemma":[0.99801344,0.000023817858,0.00013764547,0.00021199584,0.000036459096,0.00037326614,0.00083373784,0.00003254587,0.0003371173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9967802,0.0005770029,0.00094330293,0.00058719673,0.0004922483,0.0006200394],"domain_scores_gemma":[0.9988053,0.0003115041,0.00012394234,0.00024767107,0.00029724222,0.00021435038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001499836,0.00020985352,0.00037273363,0.0013308463,0.00020891575,0.000024796167,0.00018439654,0.00031354302,0.0015937452],"category_scores_gemma":[0.000017581071,0.00023065289,0.00009781524,0.0010948973,0.00022419075,0.0001917196,0.000003949694,0.00056203775,0.00034215205],"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":[0.004912639,0.0058118706,0.35748953,0.00025338962,0.00056213734,0.0016796403,0.093338795,0.39326775,0.0075779045,0.012132215,0.11492767,0.008046463],"study_design_scores_gemma":[0.003025269,0.0003024464,0.9377411,0.00009354142,0.000031621905,0.000013595646,0.0016070126,0.056641135,0.000030550807,0.00005451765,0.00024924419,0.00020996714],"about_ca_topic_score_codex":0.00017376085,"about_ca_topic_score_gemma":0.00073150836,"teacher_disagreement_score":0.5802516,"about_ca_system_score_codex":0.000037730755,"about_ca_system_score_gemma":0.00005163008,"threshold_uncertainty_score":0.99931896},"labels":[],"label_agreement":null},{"id":"W4353106628","doi":"10.1016/j.trf.2022.12.008","title":"Designing road sign symbols","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Metabolomics Innovation Centre","funders":"","keywords":"Legibility; Symbol (formal); Sign (mathematics); Comprehension; Traffic sign; Computer science; Perspective (graphical); Warning signs; Transport engineering; Artificial intelligence; Engineering; Advertising; Mathematics","score_opus":0.1512267222434207,"score_gpt":0.449240369059339,"score_spread":0.2980136468159183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353106628","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":[0.9929027,0.0003543183,0.0002464468,0.0013619565,0.00066608214,0.0005434569,0.000053038795,0.00047374354,0.0033982403],"genre_scores_gemma":[0.99381876,0.00024115131,0.00011212538,0.00019801766,0.00014148685,0.00034189413,0.00024512928,0.000046032048,0.0048553743],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99679583,0.0005543455,0.00047206992,0.0007790634,0.00043916245,0.0009595533],"domain_scores_gemma":[0.9988223,0.00033203216,0.00007823976,0.00037331693,0.00013608222,0.00025803133],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0022819568,0.0002173952,0.00028987922,0.0005491602,0.00047952568,0.000039187744,0.0002752125,0.00035673365,0.0024131169],"category_scores_gemma":[0.000029379493,0.00021522035,0.00009702086,0.0010678661,0.0004001254,0.000115295596,0.000007748681,0.0008279266,0.0015365287],"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":[0.0017893224,0.0017516627,0.2856588,0.00010914421,0.0004329471,0.0038218705,0.041690923,0.0004596816,0.016842296,0.011576131,0.30997658,0.32589063],"study_design_scores_gemma":[0.0014561133,0.00040510687,0.98416275,0.00003398797,0.000036804577,0.000014046868,0.002700292,0.000025730902,0.000063695974,0.00023273578,0.010614709,0.00025404466],"about_ca_topic_score_codex":0.00008238778,"about_ca_topic_score_gemma":0.00008138187,"teacher_disagreement_score":0.6985039,"about_ca_system_score_codex":0.0000119915585,"about_ca_system_score_gemma":0.00003826747,"threshold_uncertainty_score":0.9992409},"labels":[],"label_agreement":null},{"id":"W4362475726","doi":"10.1016/j.trf.2023.03.014","title":"What can bring transit ridership back: An econometric study on the potential of usage incentives and operational policies in the Greater Toronto Area","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Pandemic; Transit (satellite); Incentive; Business; Public transport; Paratransit; Duration (music); Service (business); Transport engineering; Public economics; Coronavirus disease 2019 (COVID-19); Economics; Marketing; Engineering; Medicine; Microeconomics","score_opus":0.20282048805935804,"score_gpt":0.4394693213429109,"score_spread":0.23664883328355285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362475726","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":[0.9948804,0.00011477438,0.0000020036073,0.00393371,0.00009968906,0.00072774506,0.000042113283,0.000016717928,0.00018285193],"genre_scores_gemma":[0.9991444,0.0004625129,0.0000017681002,0.00009358284,0.000044792945,0.000056524535,0.000049735587,0.0000060814746,0.00014061041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978671,0.0007524035,0.00029306996,0.00034288227,0.0004096569,0.0003348721],"domain_scores_gemma":[0.9994148,0.00022848196,0.00004014215,0.00017058101,0.00007030985,0.00007567894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003016384,0.00010291473,0.00015317767,0.00018639426,0.0005004993,0.00013574812,0.0002695398,0.00008711371,0.0003058191],"category_scores_gemma":[0.000012879168,0.000069473834,0.000037254966,0.00058436947,0.0006869366,0.0005105396,0.0000027126282,0.00025180535,0.0000024782526],"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":[0.00011104391,0.00044331566,0.88714963,0.000007819418,0.0000155744,0.000014431299,0.1104727,0.00005257979,0.00003717518,0.00032347057,0.00008806652,0.001284179],"study_design_scores_gemma":[0.00045962143,0.00023771268,0.8970067,0.000015127378,0.000015102954,1.5570026e-7,0.102053486,0.000013207383,0.000007796809,0.00007218334,0.000052615575,0.00006631324],"about_ca_topic_score_codex":0.003712683,"about_ca_topic_score_gemma":0.15239531,"teacher_disagreement_score":0.14868262,"about_ca_system_score_codex":0.000017972854,"about_ca_system_score_gemma":0.00005312822,"threshold_uncertainty_score":0.86307126},"labels":[],"label_agreement":null},{"id":"W4362508010","doi":"10.1016/j.trf.2023.02.007","title":"Risk perceptions of driving under the influence of cannabis: Comparing medical and non-medical cannabis users","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Public Health Ontario; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Cannabis; Poisson regression; Risk perception; Medicine; Driving under the influence; Population; Cross-sectional study; Poison control; Harm; Injury prevention; Perception; Environmental health; Psychology; Psychiatry; Social psychology","score_opus":0.042195638577049124,"score_gpt":0.40818605860180857,"score_spread":0.36599042002475946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362508010","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":[0.9760323,0.00012744332,0.00002159535,0.023136776,0.0000654032,0.00048612573,0.00004102353,0.00003990324,0.000049440176],"genre_scores_gemma":[0.9967691,0.002159791,0.000010893762,0.00013094633,0.000049391503,0.00013848975,0.00005982016,0.000020292722,0.00066133327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966465,0.00028437047,0.0005873314,0.00041756927,0.0015251384,0.00053907785],"domain_scores_gemma":[0.99854493,0.0000875489,0.00009437963,0.00032948348,0.00041374625,0.0005299251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002947335,0.0001506203,0.000399888,0.0004137689,0.0003074899,0.000012784861,0.00024318216,0.0003128561,0.0003651326],"category_scores_gemma":[0.00024661218,0.000112067326,0.00009271992,0.0009114429,0.0021774333,0.000071563794,0.000028620589,0.0012097843,0.000007332535],"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":[0.00018888728,0.00029670834,0.96529186,0.00017450878,0.00007681964,0.00010841692,0.0020466151,0.0004020222,0.0006174696,0.00009358813,0.02674148,0.0039616385],"study_design_scores_gemma":[0.0014718107,0.00037453647,0.9933726,0.00022405572,0.000068765556,0.0000370085,0.0027705396,0.00078645785,0.000033349042,0.000023895911,0.0007436669,0.00009327112],"about_ca_topic_score_codex":0.0013423392,"about_ca_topic_score_gemma":0.006300627,"teacher_disagreement_score":0.028080797,"about_ca_system_score_codex":0.000019875923,"about_ca_system_score_gemma":0.00049826683,"threshold_uncertainty_score":0.8022844},"labels":[],"label_agreement":null},{"id":"W4365815123","doi":"10.1016/j.trf.2023.03.018","title":"Effect of driving distractions on driver mental workload in work zone’s warning area","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Hebei Provincial Department of Transportation; Department of Transportation of Hunan Province","keywords":"Distraction; Workload; Driving simulator; Task (project management); Cognition; Poison control; Warning system; Speed limit; Work (physics); Simulation; Computer science; Engineering; Applied psychology; Psychology; Transport engineering; Cognitive psychology; Medical emergency; Medicine","score_opus":0.07813293849299617,"score_gpt":0.4662761465466518,"score_spread":0.3881432080536556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365815123","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":[0.99581563,0.000033860702,0.00003510803,0.00079751655,0.0009041318,0.0004739645,0.000036567955,0.00016556118,0.0017376555],"genre_scores_gemma":[0.997156,0.00010722988,0.00001013793,0.00003715666,0.000043996955,0.00025099822,0.00021442182,0.000021532342,0.0021585291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742943,0.0007158702,0.00053683034,0.0004888952,0.00035658974,0.0004724018],"domain_scores_gemma":[0.99867886,0.00075997185,0.00011249607,0.00025703476,0.00006361817,0.0001280453],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001525109,0.00017639723,0.00027646005,0.0007502569,0.00024927084,0.000018226323,0.00014472437,0.00023212768,0.0027801823],"category_scores_gemma":[0.000033721284,0.00016878711,0.00009809215,0.00097444735,0.0002541009,0.00011410437,0.0000050918084,0.0008731621,0.0004595585],"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":[0.0020212075,0.001066379,0.8764725,0.000043968746,0.000104779065,0.00025337766,0.012223157,0.00086128636,0.0005628304,0.0006240573,0.024026621,0.08173984],"study_design_scores_gemma":[0.0017056603,0.000638813,0.9930982,0.00018038107,0.000018572902,0.0000049628347,0.00088103226,0.000058570015,0.00006442076,0.000008413404,0.0032055557,0.00013541477],"about_ca_topic_score_codex":0.000034904875,"about_ca_topic_score_gemma":0.00039748946,"teacher_disagreement_score":0.11662571,"about_ca_system_score_codex":0.00003402921,"about_ca_system_score_gemma":0.000016893087,"threshold_uncertainty_score":0.9981314},"labels":[],"label_agreement":null},{"id":"W4368341188","doi":"10.1016/j.trf.2023.04.014","title":"Risk of OSA affects reaction time and driving performance more than insomnia in the Canadian Longitudinal Study on Aging","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; Jewish General Hospital; Mount Sinai Hospital; McGill University","funders":"Lady Davis Institute for Medical Research; Canadian Institutes of Health Research; Ministère des Transports; Canada Foundation for Innovation; Government of Canada","keywords":"Insomnia; Obstructive sleep apnea; Cohort; Cognition; Medicine; Cohort study; Association (psychology); Poison control; Population; Sleep apnea; Longitudinal study; Injury prevention; Human factors and ergonomics; Psychology; Physical medicine and rehabilitation; Psychiatry; Internal medicine; Environmental health","score_opus":0.09246725792653698,"score_gpt":0.42460781700399775,"score_spread":0.33214055907746076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368341188","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":[0.9976441,0.000025533569,3.828335e-7,0.0011377274,0.000047060425,0.0009888572,0.000022086972,0.000027806098,0.00010642748],"genre_scores_gemma":[0.9995911,0.00012116334,0.000008517155,0.000017528115,0.000031220767,0.00008968918,0.00007694007,0.000014658361,0.000049195136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979471,0.00041292162,0.00021764637,0.00038747108,0.00058392884,0.0004509612],"domain_scores_gemma":[0.99917185,0.00026253346,0.0000473153,0.00024350913,0.00010992076,0.00016484523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00249041,0.000120331715,0.0002056819,0.0008504922,0.00032084214,0.00001776016,0.00010547929,0.00011473317,0.000019200834],"category_scores_gemma":[0.000060362803,0.00009435818,0.000029185623,0.0008997976,0.00033828584,0.0000925293,0.00000478694,0.0009208448,0.000018162946],"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":[0.00019855284,0.00029346813,0.98641354,0.000025690719,0.000033793505,0.00022903303,0.0041351146,0.000015417494,0.00079356175,0.000008212312,0.00008092144,0.007772688],"study_design_scores_gemma":[0.0016234408,0.0010948963,0.9945647,0.00006438498,0.000047953876,0.000013961207,0.0021880767,0.0002492165,0.000054035347,0.000003865021,0.000023336852,0.00007211499],"about_ca_topic_score_codex":0.0049082353,"about_ca_topic_score_gemma":0.1334883,"teacher_disagreement_score":0.12858006,"about_ca_system_score_codex":0.000044116005,"about_ca_system_score_gemma":0.000059739676,"threshold_uncertainty_score":0.88232327},"labels":[],"label_agreement":null},{"id":"W4381611892","doi":"10.1016/j.trf.2023.06.006","title":"The effects of depressed mood and 0.05 % blood alcohol concentration on risky driving in males","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Canadian Institutes of Health Research","keywords":"Mood; Mediation; Blood alcohol; Clinical psychology; Psychology; Logistic regression; Subclinical infection; Poison control; Medicine; Injury prevention; Internal medicine; Environmental health","score_opus":0.05819015031788254,"score_gpt":0.3989799770081977,"score_spread":0.34078982669031516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381611892","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":[0.9978699,0.00054493785,0.0000011668174,0.00074428006,0.00010023627,0.0006283872,0.000003640095,0.000045514265,0.00006194503],"genre_scores_gemma":[0.99509585,0.0044899965,0.000014371451,0.000032927528,0.00001975803,0.00011862799,0.00006117763,0.000011022562,0.00015629639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881786,0.00013172206,0.0002442153,0.0002598626,0.00025229185,0.00029405352],"domain_scores_gemma":[0.99892867,0.0007417045,0.00004357135,0.000155694,0.000053308333,0.000077050296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045998156,0.00010306562,0.00019183857,0.00014441895,0.0001447257,0.0000098637665,0.00005140624,0.00010841036,0.000010345925],"category_scores_gemma":[0.00005602769,0.00007370602,0.000035070676,0.00033752914,0.00025962287,0.00005100792,0.0000019482554,0.0002520478,0.000004924919],"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":[0.0003331386,0.0002876677,0.9883182,0.00004408312,0.00005031336,0.00017723264,0.0015929723,0.000009294592,0.003002137,0.00019531192,0.00023442054,0.005755206],"study_design_scores_gemma":[0.005114935,0.0005605067,0.9907761,0.00016521868,0.00008444208,0.0000041108533,0.00040694943,0.000028496137,0.0027178796,0.000042302585,0.000040827752,0.000058196296],"about_ca_topic_score_codex":0.000010390678,"about_ca_topic_score_gemma":0.0007990544,"teacher_disagreement_score":0.00569701,"about_ca_system_score_codex":0.000006572698,"about_ca_system_score_gemma":0.000023574075,"threshold_uncertainty_score":0.3005644},"labels":[],"label_agreement":null},{"id":"W4387374266","doi":"10.1016/j.trf.2023.09.016","title":"Difference in perception-reaction time of plain and plateau drivers at expressway exit ramps","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Plateau (mathematics); Altitude (triangle); Bivariate analysis; Effects of high altitude on humans; Driving simulator; Significant difference; Simulation; Environmental science; Psychology; Transport engineering; Mathematics; Geography; Engineering; Statistics; Meteorology","score_opus":0.04830572958474291,"score_gpt":0.3347779096074569,"score_spread":0.286472180022714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387374266","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":[0.99900305,0.000074561925,0.000019244513,0.00012839108,0.00010510536,0.0002348468,0.00006635569,0.00018064234,0.00018778643],"genre_scores_gemma":[0.9977803,0.001559509,0.000037692884,0.0000061570418,0.000016851882,0.000046296267,0.00020449064,0.0000172291,0.00033143538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883425,0.00008182002,0.00028126506,0.0002816177,0.00020851112,0.0003125306],"domain_scores_gemma":[0.9996042,0.000113264905,0.00002319077,0.00012656073,0.000031830958,0.000100937235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040579477,0.00012551105,0.0001912578,0.00046895098,0.00010864751,0.000006435826,0.00008049243,0.00020603543,0.00008895356],"category_scores_gemma":[0.0000049888968,0.00012518156,0.000030456029,0.00046232154,0.00023969174,0.000085620646,0.000003949476,0.00035188952,0.00005316724],"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":[0.0010427767,0.00063013646,0.65719146,0.00045930117,0.00012548175,0.00027722516,0.028383458,0.017962657,0.22135054,0.0002943092,0.01781981,0.054462846],"study_design_scores_gemma":[0.00093208696,0.0000773552,0.99575746,0.00004526319,0.000010382604,0.000003661588,0.00058553915,0.0020003237,0.00007948153,0.000015506015,0.0003753217,0.00011763654],"about_ca_topic_score_codex":0.00002394161,"about_ca_topic_score_gemma":0.00037220522,"teacher_disagreement_score":0.33856598,"about_ca_system_score_codex":0.00001861077,"about_ca_system_score_gemma":0.0000089081395,"threshold_uncertainty_score":0.5104756},"labels":[],"label_agreement":null},{"id":"W4387552425","doi":"10.1016/j.trf.2023.10.006","title":"A comparison of pedestrian behavior in interactions with autonomous and human-driven vehicles: An extreme value theory approach","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","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":"University of British Columbia","funders":"","keywords":"Pedestrian; Crash; Transport engineering; Las vegas; Computer science; Intuition; Computer security; Engineering; Geography; Psychology; Metropolitan area","score_opus":0.14754794314033712,"score_gpt":0.4209116735003833,"score_spread":0.27336373036004613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387552425","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":[0.99863416,0.000104625484,0.0002541172,0.000042601365,0.00006401075,0.00041847414,0.000048619007,0.00022824378,0.00020514966],"genre_scores_gemma":[0.99905306,0.00009957491,0.00032958246,0.0000038570242,0.000020691343,0.00017085088,0.0002375279,0.000028323426,0.000056518882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985429,0.00017968955,0.0003805603,0.0003335921,0.00019436254,0.00036889553],"domain_scores_gemma":[0.9994979,0.00009118614,0.000036510653,0.000190521,0.00004567353,0.00013818996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057679496,0.00015060691,0.00027123038,0.00042403728,0.00015291631,0.00001513557,0.00011995759,0.00014820212,0.000027818285],"category_scores_gemma":[0.0000024745827,0.00013928219,0.000029890993,0.00045110457,0.00033662486,0.0001460953,0.0000037534273,0.0005675636,0.0000037197303],"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":[0.0003137339,0.0014041509,0.92599434,0.00015289887,0.000053384116,0.00008594009,0.011049074,0.035198588,0.0020454936,0.0016067167,0.0002943816,0.02180131],"study_design_scores_gemma":[0.0011011346,0.0003635221,0.99133784,0.000037761514,0.00004360945,0.0000073506103,0.0029864525,0.0037557916,0.000038335915,0.000026202624,0.00015269702,0.00014929706],"about_ca_topic_score_codex":0.000049318685,"about_ca_topic_score_gemma":0.0013986315,"teacher_disagreement_score":0.065343514,"about_ca_system_score_codex":0.000016217327,"about_ca_system_score_gemma":0.000026139183,"threshold_uncertainty_score":0.5679763},"labels":[],"label_agreement":null},{"id":"W4387933303","doi":"10.1016/j.trf.2023.10.012","title":"Motives for driving after cannabis use: A scoping review","year":2023,"lang":"en","type":"review","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"PsycINFO; Cannabis; Categorization; Applied psychology; Conceptualization; Psychology; Thematic analysis; Risk perception; MEDLINE; Perception; Driving under the influence; Poison control; Social psychology; Human factors and ergonomics; Qualitative research; Medicine; Computer science; Political science; Psychotherapist; Medical emergency; Sociology; Social science","score_opus":0.23931530299514142,"score_gpt":0.5292608206866403,"score_spread":0.28994551769149884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387933303","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":[0.0017029743,0.985449,0.000015701695,0.0027884122,0.00024529386,0.009131855,0.00049628527,0.00014921771,0.000021227399],"genre_scores_gemma":[0.000046698227,0.9762489,0.00007061419,0.00021325552,0.00023113926,0.010813062,0.0012568693,0.00015668197,0.010962769],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99511397,0.00047579128,0.0012245883,0.0012502697,0.0008030827,0.0011322899],"domain_scores_gemma":[0.99781066,0.00021352868,0.00019812124,0.00062724634,0.000611343,0.0005390986],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002353511,0.0005093441,0.0021324172,0.0008448343,0.00031007078,0.00007837021,0.00024055589,0.0006542932,0.00035398157],"category_scores_gemma":[0.0002945634,0.00042274068,0.0007110666,0.0011406594,0.00055882114,0.00014394303,0.00001967494,0.0015082236,0.00006486271],"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":[0.00018153079,0.00037929896,0.0006080879,0.29985097,0.00028248772,0.0005225693,0.00016612605,3.9249593e-7,8.2129316e-7,0.00003078631,0.15280457,0.54517233],"study_design_scores_gemma":[0.000725338,0.0004853076,0.007920603,0.3074893,0.0010824568,0.000052970765,0.000027612778,0.0000012052985,2.9536722e-7,0.000004284366,0.6818625,0.0003481146],"about_ca_topic_score_codex":0.000036440582,"about_ca_topic_score_gemma":0.0008456837,"teacher_disagreement_score":0.54482424,"about_ca_system_score_codex":0.00007859351,"about_ca_system_score_gemma":0.0010077426,"threshold_uncertainty_score":0.99982244},"labels":[],"label_agreement":null},{"id":"W4388782271","doi":"10.1016/j.trf.2023.11.011","title":"The impact of COVID-19 on transportation-related and risky driving behaviors in Canada","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Traffic Injury Research Foundation","funders":"International Research Foundation for English Language Education","keywords":"Pandemic; Injury prevention; Suicide prevention; Poison control; Human factors and ergonomics; Coronavirus disease 2019 (COVID-19); Occupational safety and health; Psychology; Environmental health; Pedestrian; Public health; Applied psychology; Transport engineering; Medicine; Engineering","score_opus":0.04221310795503368,"score_gpt":0.374466442238293,"score_spread":0.3322533342832593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388782271","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":[0.9984975,0.00023307234,0.000008049481,0.00042368728,0.00016096405,0.00033304002,0.00018067146,0.000114098555,0.00004894703],"genre_scores_gemma":[0.997702,0.0019647053,0.0000055864643,0.000009290399,0.000008849157,0.000063772626,0.00017647367,0.000023199114,0.000046107936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983496,0.000118643205,0.00047799153,0.00028025082,0.00030112293,0.00047240529],"domain_scores_gemma":[0.9991148,0.00038538038,0.00004137504,0.0001753076,0.000042952845,0.0002401557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072834553,0.00016404821,0.0002173688,0.00025471207,0.00023909535,0.000010604356,0.00013656878,0.0001453299,0.00005607225],"category_scores_gemma":[0.0000172132,0.00012872553,0.0000549107,0.0007056348,0.00023920841,0.000059443668,0.0000010933134,0.00056234305,0.000003952149],"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":[0.00013914719,0.00008988059,0.8009892,0.000047622576,0.000059786646,0.00017997836,0.0032317792,0.17938003,0.00020596251,0.00020119698,0.005565868,0.009909508],"study_design_scores_gemma":[0.00093668484,0.00011468574,0.99634635,0.000027546175,0.000015708974,0.0000022034599,0.0009736507,0.0011337623,0.000014063456,0.000033429857,0.0002759207,0.00012601541],"about_ca_topic_score_codex":0.07790231,"about_ca_topic_score_gemma":0.76187134,"teacher_disagreement_score":0.683969,"about_ca_system_score_codex":0.00010195063,"about_ca_system_score_gemma":0.0003255922,"threshold_uncertainty_score":0.92823803},"labels":[],"label_agreement":null},{"id":"W4389279087","doi":"10.1016/j.trf.2023.11.019","title":"Driver’s gaze behaviour before, during and after take-over manoeuvres: Influence of agentivity associated with different automation solutions","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Institut Universitaire de France; Agence Nationale de la Recherche","keywords":"Disengagement theory; Gaze; Overtaking; Automation; Context (archaeology); Eye tracking; Computer science; Simulation; Control (management); Human–computer interaction; Psychology; Artificial intelligence; Engineering; Transport engineering","score_opus":0.045012498751192835,"score_gpt":0.33864553747211573,"score_spread":0.2936330387209229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389279087","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":[0.9979566,0.00004131482,0.00073724997,0.00044762413,0.000061798055,0.00030240638,0.000079837875,0.000364777,0.000008399662],"genre_scores_gemma":[0.99941885,0.00009084571,0.00013427845,0.000015848282,0.0000078132425,0.00014639246,0.00006411426,0.000012571528,0.00010925689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979705,0.0001977888,0.00032809985,0.0005665555,0.00041037463,0.0005266528],"domain_scores_gemma":[0.99915755,0.00010596845,0.000119620534,0.0003162669,0.00018631197,0.00011426911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005718459,0.00017756321,0.0002468844,0.00048631136,0.0003188413,0.00003923482,0.0002650195,0.00021422394,0.000018372395],"category_scores_gemma":[0.000025841999,0.00015581034,0.000044110948,0.00077789254,0.0005758995,0.0002939525,0.00003029377,0.00044190875,0.000005628396],"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":[0.000054678814,0.0003671543,0.9934828,0.00003429284,0.000042340085,0.00012405364,0.0011356317,0.00015029348,0.0009899321,0.00079343736,0.00010858914,0.0027167907],"study_design_scores_gemma":[0.0009721961,0.00029725497,0.99757,0.00012143933,0.000033743316,0.0000057568714,0.000058416237,0.00043706846,0.00016087669,0.00019228725,0.000009087515,0.00014192305],"about_ca_topic_score_codex":0.000034709527,"about_ca_topic_score_gemma":0.0014452889,"teacher_disagreement_score":0.004087144,"about_ca_system_score_codex":0.000023985729,"about_ca_system_score_gemma":0.000031866803,"threshold_uncertainty_score":0.63537616},"labels":[],"label_agreement":null},{"id":"W4389503154","doi":"10.1016/j.trf.2023.10.028","title":"Impact of roadside advertisements near traffic signs on driving safety","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Distraction; Driving simulator; Affect (linguistics); Psychology; Dangerous driving; Position (finance); Distracted driving; Applied psychology; Simulation; Computer science; Cognitive psychology; Communication; Business","score_opus":0.0971365853023351,"score_gpt":0.45396358134423404,"score_spread":0.35682699604189894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389503154","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":[0.9969508,0.000104328465,0.000029552368,0.0004174079,0.0004012218,0.00060660025,0.000104360806,0.00021471012,0.0011709881],"genre_scores_gemma":[0.9976995,0.00022844314,0.00003069233,0.000055120567,0.00006430242,0.00012195165,0.00036512385,0.000049398423,0.0013854933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965142,0.0005198167,0.00071427005,0.0007631162,0.00056626333,0.0009223166],"domain_scores_gemma":[0.99854183,0.00041367157,0.0001524823,0.00046393898,0.00015070908,0.00027736492],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015912913,0.00027649803,0.00042404459,0.00052573043,0.00041069803,0.000024234514,0.00030021463,0.00034211567,0.0024364807],"category_scores_gemma":[0.000036916404,0.0002526794,0.0002424197,0.0010429228,0.0004900225,0.0001039545,0.00000893924,0.00078706094,0.00039745372],"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":[0.0035058183,0.0029715744,0.79154766,0.000053573793,0.00064706657,0.00080333446,0.019694876,0.02306554,0.0048234034,0.0011302134,0.04543457,0.10632237],"study_design_scores_gemma":[0.002342047,0.0019647179,0.99274576,0.00006832811,0.000043857282,0.0000057130087,0.0005526994,0.0002029481,0.000017048458,0.000027428734,0.0017982557,0.00023121345],"about_ca_topic_score_codex":0.00009756867,"about_ca_topic_score_gemma":0.00020019215,"teacher_disagreement_score":0.20119809,"about_ca_system_score_codex":0.000036105357,"about_ca_system_score_gemma":0.00008024354,"threshold_uncertainty_score":0.99999255},"labels":[],"label_agreement":null},{"id":"W4391155147","doi":"10.1016/j.trf.2024.01.002","title":"Examining expressions of cycling anger in China: Further evidence of the validity and reliability of the Cycling Anger Expression Inventory (CAX)","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Bullying, Victimization, and Aggression","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cycling; Anger; Reliability (semiconductor); Psychology; Rapid cycling; Reliability engineering; Clinical psychology; Engineering; Physics; Geography; Thermodynamics; Mood","score_opus":0.1495455213758263,"score_gpt":0.4233231611124555,"score_spread":0.27377763973662916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391155147","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":[0.9962912,0.001907059,0.000074969576,0.00048581694,0.0006023441,0.00049016427,0.000033491924,0.000024379522,0.000090566966],"genre_scores_gemma":[0.999008,0.0006199852,0.00009770562,0.00001824347,0.000038832688,0.000064377426,0.0000074565683,0.000018937142,0.00012643526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969909,0.0011473985,0.00067746715,0.00050471607,0.00039940357,0.0002800881],"domain_scores_gemma":[0.99855006,0.0005534953,0.00021979999,0.00048817633,0.00012237178,0.00006609732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002274455,0.00015011462,0.00027643994,0.00020095776,0.00018043496,0.000010491374,0.00027512756,0.00027536837,0.00025083096],"category_scores_gemma":[0.0001337728,0.000094384755,0.000089374975,0.0005766802,0.000756576,0.0001605777,0.000029658071,0.00068712217,8.937252e-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":[0.0002089466,0.00037147253,0.9463027,0.00025449222,0.000011390548,0.000006632144,0.018739762,0.0003827443,0.031307638,0.00005033734,0.00048921467,0.0018746854],"study_design_scores_gemma":[0.00047402421,0.00012847196,0.9923633,0.0025722429,0.000040885418,0.0000027401866,0.001217253,0.00012141966,0.0027873642,0.00014710006,0.000055422905,0.000089793444],"about_ca_topic_score_codex":0.00014550243,"about_ca_topic_score_gemma":0.00017501306,"teacher_disagreement_score":0.0460606,"about_ca_system_score_codex":0.00001188647,"about_ca_system_score_gemma":0.000059552185,"threshold_uncertainty_score":0.38488984},"labels":[],"label_agreement":null},{"id":"W4391491990","doi":"10.1016/j.trf.2023.12.015","title":"A scoping review of E-scooter safety: Delightful urban slalom or injury epidemic?","year":2024,"lang":"en","type":"review","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Transport engineering; Crash; Occupational safety and health; Poison control; Injury prevention; Aeronautics; Engineering; Forensic engineering; Computer science; Medicine; Environmental health","score_opus":0.24001920540192836,"score_gpt":0.5575026423882817,"score_spread":0.3174834369863534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391491990","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":[0.0009181453,0.9930869,0.000012840283,0.00067367335,0.0005969856,0.0033836884,0.0005770078,0.00013408675,0.0006166965],"genre_scores_gemma":[0.00045060815,0.99649554,0.00007056394,0.00015448706,0.00030492755,0.0004593283,0.000616543,0.000058912563,0.0013890684],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99336696,0.0014839327,0.002163983,0.0011748632,0.0009288048,0.00088143104],"domain_scores_gemma":[0.997757,0.0005399869,0.00041674334,0.00057581713,0.00034866942,0.00036178058],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006187482,0.00048105963,0.0021620805,0.00052314013,0.00047843644,0.000051038463,0.00071438414,0.0008892083,0.0016513063],"category_scores_gemma":[0.00014210134,0.0003558706,0.0005957402,0.0016617023,0.0013843493,0.000250195,0.0000134214615,0.0016543327,0.000084599786],"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":[0.0001864194,0.00040946878,0.0015874868,0.32219732,0.00021605908,0.00020203118,0.0021348977,9.712553e-8,2.9993674e-7,0.00045687312,0.027416073,0.645193],"study_design_scores_gemma":[0.00018412649,0.00013864857,0.00054517423,0.34421062,0.0012302299,0.0000017987675,0.00007838306,1.4075661e-7,2.4307076e-7,0.000043646396,0.65321153,0.00035548367],"about_ca_topic_score_codex":0.00021567765,"about_ca_topic_score_gemma":0.00457279,"teacher_disagreement_score":0.6448375,"about_ca_system_score_codex":0.00007049462,"about_ca_system_score_gemma":0.0016356482,"threshold_uncertainty_score":0.9998893},"labels":[],"label_agreement":null},{"id":"W4392134873","doi":"10.1016/j.trf.2024.02.004","title":"Analyzing road user risk perception among Indian drivers on varying curve geometry: A structural equation modeling approach","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural equation modeling; Perception; Risk perception; Geometry; Computer science; Mathematics; Statistics; Psychology","score_opus":0.05536559512047127,"score_gpt":0.34102455405176396,"score_spread":0.2856589589312927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392134873","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":[0.9848503,0.00032458155,0.013160032,0.00006162239,0.00042346175,0.00038266485,0.00009160887,0.00052689674,0.00017884489],"genre_scores_gemma":[0.9978615,0.0008367949,0.0004759239,0.000009443119,0.00012596107,0.0000656895,0.00052716373,0.00004969992,0.000047792328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979002,0.00018109425,0.0003958806,0.0005831188,0.00039067765,0.0005490634],"domain_scores_gemma":[0.9994389,0.00007357244,0.000029021367,0.00020557942,0.00006757627,0.00018536438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008718431,0.000245576,0.00022467712,0.000744397,0.0003912309,0.000092609866,0.00014549204,0.00032968176,0.00010461776],"category_scores_gemma":[0.000009765983,0.00023281923,0.00010505888,0.000734851,0.00016189217,0.0003678303,0.0000037750146,0.001252166,0.000033011],"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":[0.0000765251,0.000066961926,0.092257276,0.00012594656,0.00011815293,0.000052987227,0.0068553076,0.8406896,0.00010851045,0.00015361882,0.0003277542,0.059167348],"study_design_scores_gemma":[0.00043387298,0.000082370236,0.4881531,0.00007146753,0.000059481907,0.0000039304905,0.00073803373,0.5101647,0.0000041991425,0.00002992399,0.000044349916,0.0002145887],"about_ca_topic_score_codex":0.000102812905,"about_ca_topic_score_gemma":0.00016123564,"teacher_disagreement_score":0.3958958,"about_ca_system_score_codex":0.000071882176,"about_ca_system_score_gemma":0.000026284695,"threshold_uncertainty_score":0.94940925},"labels":[],"label_agreement":null},{"id":"W4392745013","doi":"10.1016/j.trf.2024.02.013","title":"Using the ISO Detection response task to measure the cognitive load of driving four separate vehicles on two distinct highways","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"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 Windsor","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Alberta Motor Association Foundation for Traffic Safety; AAA Foundation for Traffic Safety","keywords":"Workload; Task (project management); Measure (data warehouse); Transport engineering; Cognition; Cognitive load; Computer science; Simulation; Poison control; Driving simulator; Engineering; Automotive engineering; Psychology; Data mining; Medicine","score_opus":0.17482979626149275,"score_gpt":0.4842129622004927,"score_spread":0.30938316593899995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392745013","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":[0.9925297,0.00013386337,0.0017941948,0.0028699767,0.0009915979,0.0007268301,0.00011180531,0.00016775233,0.00067426695],"genre_scores_gemma":[0.9986063,0.000015869073,0.000015404328,0.00023408269,0.0001200992,0.00020374337,0.00001856845,0.000027379809,0.0007585099],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9963843,0.0016824491,0.00048936333,0.0005231284,0.00053688214,0.00038386232],"domain_scores_gemma":[0.997682,0.001444274,0.00008904367,0.00030588318,0.00036364136,0.00011519746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033241776,0.00018597466,0.00019390367,0.00030055255,0.0006142776,0.00007276098,0.00020046641,0.00015342604,0.000507245],"category_scores_gemma":[0.000110601955,0.00012459318,0.00011190436,0.0006304833,0.0003998811,0.00010443638,0.0000065669774,0.0008627131,0.00019816337],"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":[0.051050484,0.0034898175,0.045869462,0.00024510542,0.0020059245,0.0012303577,0.21605043,0.004005717,0.11205799,0.011692565,0.05395803,0.49834412],"study_design_scores_gemma":[0.0013686226,0.00078284275,0.98076177,0.00028559245,0.00013590211,0.0000566854,0.0038065987,0.0012990955,0.0006696825,0.000084089435,0.010520805,0.00022830075],"about_ca_topic_score_codex":0.00009713081,"about_ca_topic_score_gemma":0.0014175314,"teacher_disagreement_score":0.9348923,"about_ca_system_score_codex":0.00005286838,"about_ca_system_score_gemma":0.0000924638,"threshold_uncertainty_score":0.55539775},"labels":[],"label_agreement":null},{"id":"W4392970961","doi":"10.1016/j.trf.2024.02.005","title":"Older drivers’ attitudes are associated with readiness for changes in mobility","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; Simon Fraser University; St. Joseph's Care Group; Ottawa Hospital; Lakehead University; Baycrest Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; Lakehead University","keywords":"Psychology; Applied psychology; Gerontology; Medicine","score_opus":0.17480381494837852,"score_gpt":0.5140584672113491,"score_spread":0.3392546522629706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392970961","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":[0.99175215,0.00027742857,0.000049592523,0.0054497602,0.00035077878,0.0016202524,0.00025189045,0.00018759673,0.000060567963],"genre_scores_gemma":[0.99667746,0.00025042973,0.00004074777,0.00012826464,0.000070144946,0.0015711386,0.00016990337,0.000028707474,0.0010631952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99772036,0.00041405894,0.00033212162,0.0006021121,0.00027201907,0.00065934804],"domain_scores_gemma":[0.99833107,0.0010223695,0.000060087386,0.00018453746,0.00030462688,0.000097295495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016757264,0.00016491636,0.00030305897,0.00030195143,0.00051264185,0.000014030947,0.000118588825,0.0002775578,0.00013786474],"category_scores_gemma":[0.000082382845,0.0001327531,0.000035187546,0.00050278427,0.00037428428,0.00010713438,0.000006358623,0.00088063494,0.000014864837],"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":[0.000079942336,0.0003933608,0.98287576,0.0004384913,0.000061735984,0.00006161381,0.008026475,0.000011962828,0.00002567833,0.00010569527,0.006785554,0.0011337539],"study_design_scores_gemma":[0.0014562554,0.00024040074,0.99333656,0.001285504,0.000041598898,4.9435135e-7,0.0024724011,0.000031917032,0.0000053661693,0.00004664973,0.0009435809,0.00013926397],"about_ca_topic_score_codex":0.00007156849,"about_ca_topic_score_gemma":0.09269053,"teacher_disagreement_score":0.092618965,"about_ca_system_score_codex":0.000068039466,"about_ca_system_score_gemma":0.00009707358,"threshold_uncertainty_score":0.9238655},"labels":[],"label_agreement":null},{"id":"W4393965117","doi":"10.1016/j.trf.2024.03.013","title":"Driver heterogeneity in willingness to give control to conditional automation","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; Control (management); Computer science; Engineering; Artificial intelligence","score_opus":0.08283664155596772,"score_gpt":0.47848738604903046,"score_spread":0.39565074449306276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393965117","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":[0.9863399,0.00009148412,0.0046971207,0.0054561314,0.0011779952,0.000871493,0.0003062491,0.00024234017,0.000817256],"genre_scores_gemma":[0.9965408,0.000014535279,0.00011435893,0.001098963,0.00012251287,0.0006628405,0.00028757317,0.000024079276,0.0011343369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748033,0.000428408,0.0005496011,0.0006936762,0.00037914,0.00046883078],"domain_scores_gemma":[0.9990077,0.0002661046,0.00003538472,0.00022026422,0.00018955198,0.000280978],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001053655,0.00017755153,0.0002307845,0.0007278976,0.00018222614,0.00006908402,0.00015371895,0.00022346624,0.0046896213],"category_scores_gemma":[0.000022894197,0.00018169917,0.00007393648,0.0006616009,0.00013630776,0.00018946693,0.00000411633,0.0005485066,0.001977291],"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":[0.0043910528,0.0042903554,0.4006863,0.00028251938,0.0006649791,0.0021532504,0.08614587,0.010963924,0.0053394176,0.072997645,0.30306834,0.10901635],"study_design_scores_gemma":[0.0011371174,0.0002797884,0.9596957,0.000070535774,0.000018299472,0.000016378392,0.00043643356,0.00041612552,0.00003172055,0.0001364605,0.0375741,0.00018733379],"about_ca_topic_score_codex":0.00007267273,"about_ca_topic_score_gemma":0.0011296051,"teacher_disagreement_score":0.55900943,"about_ca_system_score_codex":0.00005907374,"about_ca_system_score_gemma":0.000050225717,"threshold_uncertainty_score":0.9987998},"labels":[],"label_agreement":null},{"id":"W4400334082","doi":"10.1016/j.trf.2024.06.019","title":"Computerized cognitive training to improve executive functions and driving skills of adolescents with and without symptoms of attention-deficit/hyperactivity disorder","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Charles-Le Moyne; Université de Sherbrooke","funders":"","keywords":"Executive functions; Attention deficit hyperactivity disorder; Attention deficit; Cognition; Psychology; Attention deficit disorder; Cognitive skill; Clinical psychology; Developmental psychology; Cognitive psychology; Psychiatry","score_opus":0.045591969709917926,"score_gpt":0.3908767658292898,"score_spread":0.3452847961193719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400334082","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":[0.99518734,0.00024580958,0.0029579147,0.0003687034,0.000096733515,0.0009414867,0.000114714974,0.00005017349,0.00003713769],"genre_scores_gemma":[0.9993035,0.000111207286,0.00016265061,0.000022441574,0.000020164498,0.00009074356,0.00008007517,0.000028747983,0.00018043602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983714,0.00014826757,0.00035042365,0.00051068095,0.00032939244,0.00028980293],"domain_scores_gemma":[0.99912953,0.00017293394,0.000078806224,0.00012946848,0.00030938437,0.00017984712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041622965,0.00018569415,0.00042995976,0.00038643176,0.00013936462,0.00002270757,0.00003691073,0.0001368605,0.000027314178],"category_scores_gemma":[0.000034945966,0.00016212175,0.00005547815,0.0004043972,0.0005333974,0.00019275655,0.0000093366925,0.0004708345,0.0000025185611],"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":[0.00072300265,0.00082177995,0.96091706,0.00024482948,0.00016980416,0.00002001996,0.0020371424,0.000009591841,0.008813272,0.00003924876,0.000007015522,0.026197268],"study_design_scores_gemma":[0.0032375462,0.0012956223,0.98720044,0.0014089574,0.00031089855,0.000046647692,0.006187115,0.00011709845,0.00002468915,0.0000032603255,0.000021843593,0.00014586715],"about_ca_topic_score_codex":0.00003777303,"about_ca_topic_score_gemma":0.00022457367,"teacher_disagreement_score":0.026283428,"about_ca_system_score_codex":0.000009937354,"about_ca_system_score_gemma":0.000075239106,"threshold_uncertainty_score":0.6611133},"labels":[],"label_agreement":null},{"id":"W4400363401","doi":"10.1016/j.trf.2024.06.018","title":"Evaluation of driver’s situation awareness in freeway exit using backpropagation neural network","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Backpropagation; Artificial neural network; Computer science; Artificial intelligence","score_opus":0.2602372893192148,"score_gpt":0.5216007996931832,"score_spread":0.2613635103739684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400363401","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":[0.9949433,0.000680806,0.0007517773,0.00043758325,0.0015842239,0.0006961613,0.00003889253,0.000097918695,0.0007693043],"genre_scores_gemma":[0.998972,0.00011041464,0.000104850864,0.000038483762,0.00015818856,0.00017314253,0.00027957538,0.000023410255,0.00013991028],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99619764,0.0013197404,0.00072715175,0.0005540952,0.0008172379,0.0003841358],"domain_scores_gemma":[0.99878883,0.00021737552,0.00011080707,0.00024294142,0.000553832,0.000086239284],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0045884703,0.00016116523,0.00022935987,0.00087651005,0.00017107857,0.000039426905,0.00012391774,0.0002645631,0.0032823056],"category_scores_gemma":[0.00003380096,0.00016552862,0.000073833275,0.0011296599,0.00021870845,0.0003118127,0.0000042407264,0.00054436846,0.00006305178],"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":[0.0015115063,0.0027239644,0.33535302,0.00038809457,0.0005007323,0.00026925205,0.052959573,0.18012749,0.006793202,0.018607022,0.02861863,0.37214753],"study_design_scores_gemma":[0.0013984605,0.00016693921,0.93232393,0.00016328302,0.00012586151,0.000012781151,0.0007666735,0.06337014,0.000043308264,0.0006583109,0.00079629803,0.00017404101],"about_ca_topic_score_codex":0.00024105333,"about_ca_topic_score_gemma":0.0022549152,"teacher_disagreement_score":0.5969709,"about_ca_system_score_codex":0.00006727696,"about_ca_system_score_gemma":0.00013262975,"threshold_uncertainty_score":0.9976288},"labels":[],"label_agreement":null},{"id":"W4401119643","doi":"10.1016/j.trf.2024.07.007","title":"Impact of variable message signs on drivers’ situation awareness in freeway exit areas","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Poison control; Transport engineering; Occupational safety and health; Variable (mathematics); Injury prevention; Human factors and ergonomics; Suicide prevention; Medical emergency; Engineering; Computer security; Computer science; Forensic engineering; Medicine","score_opus":0.11750820523881737,"score_gpt":0.49056072823399877,"score_spread":0.3730525229951814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401119643","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":[0.99281967,0.00012441009,0.0006028018,0.00035677775,0.00069808506,0.00042123342,0.00016056267,0.00012721485,0.0046892464],"genre_scores_gemma":[0.9978328,0.00011060292,0.000038055045,0.000044496617,0.00005619221,0.00015322075,0.000330472,0.000024380946,0.0014098308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99760246,0.00048653368,0.0005667019,0.00057169516,0.00036698137,0.00040561694],"domain_scores_gemma":[0.9989558,0.00037984934,0.00007448464,0.00029535306,0.00016301287,0.00013152086],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011133453,0.00018617518,0.00027396777,0.0012078466,0.00013054299,0.000034394066,0.00016066528,0.0002971085,0.008339485],"category_scores_gemma":[0.000021712161,0.00017096807,0.000118881006,0.0009901985,0.00022169434,0.00019805988,0.0000034051689,0.00070265034,0.00018995458],"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":[0.0029354242,0.0062830052,0.7561213,0.00026570223,0.0006725779,0.0008720206,0.051601805,0.0064372336,0.0066033183,0.055627026,0.07692399,0.03565662],"study_design_scores_gemma":[0.0012697104,0.000766134,0.9946288,0.00015106155,0.000028548648,0.000008308408,0.00055311935,0.00030797368,0.000036474514,0.0003159057,0.0017691574,0.00016484136],"about_ca_topic_score_codex":0.0004501218,"about_ca_topic_score_gemma":0.0007555793,"teacher_disagreement_score":0.2385075,"about_ca_system_score_codex":0.000052795043,"about_ca_system_score_gemma":0.00010786171,"threshold_uncertainty_score":0.992567},"labels":[],"label_agreement":null},{"id":"W4401547403","doi":"10.1016/j.trf.2024.07.026","title":"Do one’s moral foundations impact how they respond to information on climate change emissions? A vehicle choice experiment","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Environmental Education and Sustainability","field":"Environmental Science","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 Toronto; Polytechnique Montréal; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Climate change; Poison control; Engineering; Environmental science; Environmental health; Ecology","score_opus":0.12067356459556641,"score_gpt":0.44986105177066826,"score_spread":0.3291874871751018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401547403","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":[0.987412,0.000053045027,0.00001925965,0.010755794,0.00014741533,0.00086938834,0.000100353354,0.00008009098,0.0005626611],"genre_scores_gemma":[0.99833727,0.00013363546,0.00010915514,0.00042571014,0.00004533938,0.0005276335,0.00018620597,0.000013200593,0.00022185591],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981897,0.00019764916,0.00024697385,0.00042973887,0.0004798881,0.00045606706],"domain_scores_gemma":[0.99922824,0.000105861865,0.00003073311,0.00028804332,0.00002183539,0.00032527352],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000858893,0.00015578377,0.00012399185,0.00020598632,0.00038171952,0.00014853559,0.00015254723,0.00011937866,0.0023545655],"category_scores_gemma":[0.000036151076,0.00013624674,0.00006373455,0.00038619954,0.00021098656,0.0006674021,0.000017338518,0.00036923084,0.0004928534],"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":[0.0009975479,0.0025275568,0.7239605,0.00011531893,0.000049718365,0.000039059298,0.053846583,0.0012090979,0.0040417784,0.0018157142,0.029637251,0.18175985],"study_design_scores_gemma":[0.00032869293,0.00048154496,0.98105043,0.00003605754,0.000011750288,0.0000012140579,0.0017704756,0.000100265956,0.000097895536,0.000100816964,0.015870068,0.00015080812],"about_ca_topic_score_codex":0.00018649104,"about_ca_topic_score_gemma":0.0003093552,"teacher_disagreement_score":0.25708988,"about_ca_system_score_codex":0.00022172382,"about_ca_system_score_gemma":0.000026071548,"threshold_uncertainty_score":0.9985574},"labels":[],"label_agreement":null},{"id":"W4402029980","doi":"10.1016/j.trf.2024.08.005","title":"Attitudes toward driving after cannabis use: A systematic review and meta-analysis","year":2024,"lang":"en","type":"review","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"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":"Meta-analysis; Poison control; Human factors and ergonomics; Injury prevention; Suicide prevention; Cannabis; Occupational safety and health; Systematic review; Psychology; MEDLINE; Engineering; Forensic engineering; Medicine; Medical emergency; Psychiatry; Political science","score_opus":0.2284327051452035,"score_gpt":0.4987015818437044,"score_spread":0.27026887669850086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402029980","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":[0.00049448747,0.9883706,0.000004584698,0.005328547,0.00006136729,0.0050389785,0.0005939714,0.00009091299,0.00001652951],"genre_scores_gemma":[0.0014294698,0.97343487,0.00003140859,0.00036507106,0.00004518921,0.006843602,0.0005602167,0.00009194606,0.017198252],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99406815,0.0010114731,0.0015650986,0.0014585598,0.0010660862,0.0008306434],"domain_scores_gemma":[0.99772227,0.000098577184,0.0002110055,0.00087529654,0.0004763088,0.000616535],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002825534,0.00069126027,0.0067371493,0.0015036612,0.0001882668,0.00019105876,0.00024901575,0.0006231247,0.0011144708],"category_scores_gemma":[0.000109070395,0.0004445975,0.0022883287,0.0021841652,0.0005951047,0.00014125227,0.000031342537,0.0020580862,0.000068451474],"study_design_candidate":"systematic_review","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":[0.00002583619,0.00025977386,0.00019101599,0.9010995,0.06524836,0.0009501717,0.00020361658,1.8562224e-7,1.015256e-7,0.000030330433,0.029628513,0.0023625975],"study_design_scores_gemma":[0.00018496314,0.00022410149,0.003000871,0.03001377,0.8081266,0.00014834765,0.000027409582,9.3577887e-7,4.520321e-8,0.0000022613542,0.15789269,0.0003779957],"about_ca_topic_score_codex":0.000098372155,"about_ca_topic_score_gemma":0.0008896583,"teacher_disagreement_score":0.8710857,"about_ca_system_score_codex":0.00007205854,"about_ca_system_score_gemma":0.00036630852,"threshold_uncertainty_score":0.99980056},"labels":[],"label_agreement":null},{"id":"W4402400738","doi":"10.1016/j.trf.2024.09.002","title":"Easy listening or driving distraction? The relationship between audiobook complexity level and driving performance on simple routes","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":6,"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 Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Distraction; Active listening; Simple (philosophy); Poison control; Computer science; Human factors and ergonomics; Engineering; Psychology; Medicine; Cognitive psychology; Medical emergency; Communication","score_opus":0.26777004696046774,"score_gpt":0.43575978098513835,"score_spread":0.1679897340246706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402400738","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":[0.98348093,0.000096592514,0.010783274,0.0047377828,0.00017342181,0.0002395807,0.000024391973,0.00034949003,0.000114555],"genre_scores_gemma":[0.9983754,0.00006158255,0.0007684911,0.00006005431,0.00007409292,0.00005299766,0.000046952377,0.000014080831,0.00054630596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980825,0.00022288361,0.0003249444,0.0006212278,0.00032286518,0.0004255826],"domain_scores_gemma":[0.99798614,0.0014241674,0.000056620054,0.00033065726,0.0000751258,0.00012731511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012352468,0.0001705095,0.00018161755,0.00025608976,0.0009793015,0.00020665562,0.00037431877,0.00016860625,0.000021395148],"category_scores_gemma":[0.00010069447,0.00012325721,0.00004452254,0.00051854306,0.00061868445,0.00036254284,0.00002115959,0.0011007638,0.00002143608],"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":[0.000019257212,0.000055144585,0.9477949,0.00003874288,0.000022729997,0.00004253137,0.00077885087,0.000035654797,0.000039543218,0.018516438,0.00092018617,0.031736024],"study_design_scores_gemma":[0.0002483647,0.0002454962,0.9948703,0.00015495306,0.00002146711,0.000021662947,0.000097856806,0.0012681322,0.00002748333,0.0008952502,0.0020061852,0.00014282083],"about_ca_topic_score_codex":0.000019641662,"about_ca_topic_score_gemma":0.00036286138,"teacher_disagreement_score":0.04707543,"about_ca_system_score_codex":0.000025489993,"about_ca_system_score_gemma":0.00008566582,"threshold_uncertainty_score":0.7532095},"labels":[],"label_agreement":null},{"id":"W4403443253","doi":"10.1016/j.trf.2024.09.025","title":"Propensity to trust technology and subjective, but not objective, knowledge predict trust in advanced driver assistance systems","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":7,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Human factors and ergonomics; Advanced driver assistance systems; Poison control; Injury prevention; Suicide prevention; Occupational safety and health; Knowledge management; Engineering; Computer science; Psychology; Computer security; Business; Medical emergency; Medicine; Artificial intelligence","score_opus":0.06353946950173031,"score_gpt":0.42043632087855953,"score_spread":0.35689685137682925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403443253","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":[0.98979294,0.0010104988,0.00025685324,0.0011323823,0.0014894658,0.0013550877,0.00017838154,0.00035319812,0.004431195],"genre_scores_gemma":[0.99151826,0.00016041625,0.0000683272,0.00007382828,0.00007384519,0.00086521514,0.000053555836,0.00003639946,0.0071501713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969102,0.00047772095,0.000625851,0.0010954698,0.00028371374,0.0006070513],"domain_scores_gemma":[0.9988661,0.00022473554,0.00006479486,0.00034737494,0.00027670633,0.00022028614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010809618,0.00026444334,0.0004117775,0.0015644651,0.0002770465,0.00007924408,0.00020018808,0.00043470942,0.00053014327],"category_scores_gemma":[0.000042588974,0.00025580835,0.000057058933,0.0013684742,0.0004921668,0.00025429638,0.000013314049,0.001147192,0.0002478957],"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":[0.005805976,0.0030463883,0.74272895,0.00057657005,0.00042954626,0.001666859,0.03723536,0.00033876763,0.0051225987,0.058648605,0.01920719,0.12519318],"study_design_scores_gemma":[0.0015118637,0.00048741963,0.97341794,0.00020336227,0.000027414242,0.00005387614,0.0027082122,0.00023241252,0.000078658755,0.000058534264,0.020964261,0.0002560513],"about_ca_topic_score_codex":0.000096309144,"about_ca_topic_score_gemma":0.0018351071,"teacher_disagreement_score":0.23068897,"about_ca_system_score_codex":0.00009330193,"about_ca_system_score_gemma":0.000090608126,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W4404877494","doi":"10.1016/j.trf.2024.11.021","title":"We all fall for it: Influence of driving experience, level of cognitive control engaged and actual exposure to the driving situations on the Dunning-Kruger effect","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Agence Nationale de la Recherche","keywords":"Cognition; Poison control; Human factors and ergonomics; Control (management); Injury prevention; Applied psychology; Engineering; Occupational safety and health; Psychology; Computer science; Medical emergency; Medicine; Artificial intelligence","score_opus":0.11408289563522513,"score_gpt":0.40142125861783096,"score_spread":0.28733836298260584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404877494","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":[0.9937524,0.00016491595,0.0033245953,0.0014279386,0.0000951168,0.0010064177,0.00016325217,0.00004589643,0.00001945864],"genre_scores_gemma":[0.9990867,0.00015563944,0.000030186662,0.00010371779,0.000028567263,0.00051111233,0.000048115307,0.000015087965,0.000020872458],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99878335,0.00029172638,0.0002882871,0.00021114219,0.00022785051,0.0001976235],"domain_scores_gemma":[0.99618095,0.003482652,0.000030460615,0.00009878333,0.00014522357,0.000061928586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014157271,0.000114418,0.0001545771,0.0001578745,0.00023626917,0.000025329742,0.000092224436,0.00009305887,0.000025887388],"category_scores_gemma":[0.0002775931,0.00007874235,0.000054682205,0.00024989768,0.00019352502,0.000092511575,0.0000025102154,0.00048284372,0.0000032535468],"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":[0.002028668,0.0008314714,0.10887654,0.0015762221,0.0010755276,0.00005521887,0.48247933,0.061096035,0.1759478,0.0027564846,0.008358678,0.154918],"study_design_scores_gemma":[0.0017016911,0.0013184836,0.9818229,0.0013029814,0.00016994515,0.000003227495,0.0052316776,0.002956518,0.0047947364,0.0000536565,0.00043629642,0.00020787564],"about_ca_topic_score_codex":0.000008493456,"about_ca_topic_score_gemma":0.00042505097,"teacher_disagreement_score":0.8729464,"about_ca_system_score_codex":0.0000065874624,"about_ca_system_score_gemma":0.000016767443,"threshold_uncertainty_score":0.32110196},"labels":[],"label_agreement":null},{"id":"W4405854850","doi":"10.1016/j.trf.2024.12.026","title":"Estimation of driver vigilance level for various cognitive distractions when drivers use advanced driving assistance functions","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Vigilance (psychology); Poison control; Human factors and ergonomics; Cognition; Injury prevention; Occupational safety and health; Suicide prevention; Computer science; Transport engineering; Engineering; Applied psychology; Psychology; Computer security; Medical emergency; Medicine; Cognitive psychology","score_opus":0.1401470736364011,"score_gpt":0.46898925417042814,"score_spread":0.32884218053402703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405854850","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":[0.8986054,0.00015797812,0.09592696,0.0009309826,0.0015601239,0.0008352421,0.0011104089,0.00023196421,0.0006409252],"genre_scores_gemma":[0.9917758,0.00007282318,0.0009710989,0.000075207965,0.000058154754,0.0005653736,0.000706293,0.000030761123,0.00574446],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99791276,0.00020714581,0.00057388266,0.00062767783,0.0002950423,0.00038345787],"domain_scores_gemma":[0.99810445,0.0010381594,0.00012726626,0.00022447071,0.00037016426,0.00013547597],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005301975,0.00018788426,0.00024360574,0.0004086511,0.00041221752,0.00006981676,0.0001106973,0.0002006927,0.0013470073],"category_scores_gemma":[0.00007632424,0.00019704195,0.00013433509,0.00034885545,0.00039419127,0.00056330016,0.0000034396196,0.00056680344,0.000099538855],"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":[0.0050440193,0.005992645,0.14050668,0.0009358722,0.0020917747,0.00035873937,0.057691902,0.008654842,0.0042838007,0.054941006,0.15586038,0.5636383],"study_design_scores_gemma":[0.0017124701,0.00036187275,0.9723081,0.00030126568,0.00016482825,0.000018748167,0.001838613,0.001974796,0.000059283186,0.00025276566,0.020749431,0.0002578506],"about_ca_topic_score_codex":0.00003922956,"about_ca_topic_score_gemma":0.0007265704,"teacher_disagreement_score":0.8318014,"about_ca_system_score_codex":0.00004591134,"about_ca_system_score_gemma":0.00007367819,"threshold_uncertainty_score":0.9995659},"labels":[],"label_agreement":null},{"id":"W4406739999","doi":"10.1016/j.trf.2025.01.021","title":"Perceptions toward pedestrians and micromobility devices in off-street cycling facilities and multi-use paths in metropolitan Vancouver, Canada","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"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 British Columbia","funders":"","keywords":"Cycling; Metropolitan area; Transport engineering; Poison control; Perception; Pedestrian; Environmental health; Gerontology; Geography; Engineering; Psychology; Medicine","score_opus":0.09467827412119827,"score_gpt":0.41991369340476126,"score_spread":0.325235419283563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406739999","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":[0.99726707,0.0008178739,0.00001676058,0.0007468935,0.00019913977,0.0005012255,0.0003218426,0.00002781567,0.00010137707],"genre_scores_gemma":[0.9979757,0.0011097791,0.00013848479,0.0000646632,0.000013248409,0.00006311449,0.000046886973,0.000005432089,0.0005826568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977816,0.00043049123,0.000466642,0.0005649441,0.00025381747,0.00050253136],"domain_scores_gemma":[0.99918586,0.00036241888,0.00004132861,0.00014783388,0.000103109116,0.0001594623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275863,0.00014787691,0.00027306486,0.00028273498,0.0004040534,0.00005427159,0.00014031418,0.00020412417,0.000072300965],"category_scores_gemma":[0.00008556385,0.00015210317,0.000030001578,0.000499965,0.0009980475,0.000317431,0.0000057874854,0.0005080286,2.718925e-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":[0.00006412433,0.00023265734,0.98874766,0.000057552214,0.0000072483654,0.000030865944,0.0072079403,0.000005070934,0.000029988814,0.000118329,0.00024731123,0.003251261],"study_design_scores_gemma":[0.0008320028,0.000033253087,0.9626498,0.000059143807,0.000015414533,1.0787073e-7,0.03466113,0.000015887617,0.000004450034,0.0000767937,0.0015272525,0.00012474823],"about_ca_topic_score_codex":0.65746117,"about_ca_topic_score_gemma":0.99881476,"teacher_disagreement_score":0.3413536,"about_ca_system_score_codex":0.00013904928,"about_ca_system_score_gemma":0.00045316995,"threshold_uncertainty_score":0.62025875},"labels":[],"label_agreement":null},{"id":"W4406884944","doi":"10.1016/j.trf.2025.01.027","title":"Integrating behavioral theory and ANNs for understanding electric bikers’ red-light running behavior","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Poison control; Electric light; Injury prevention; Human factors and ergonomics; Suicide prevention; Computer science; Psychology; Simulation; Engineering; Medical emergency; Medicine; Electrical engineering","score_opus":0.20179320419913624,"score_gpt":0.5143511743345344,"score_spread":0.3125579701353981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406884944","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":[0.99057907,0.0013755388,0.0026842863,0.0016209406,0.0009244357,0.001558428,0.000119638986,0.00016110149,0.0009765822],"genre_scores_gemma":[0.99560034,0.00012357513,0.00030998694,0.00020387606,0.00006432204,0.0014136344,0.00020049981,0.000037979917,0.0020458095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966718,0.00048903323,0.0007554461,0.0008715413,0.00023917491,0.00097301946],"domain_scores_gemma":[0.9987165,0.0003375298,0.00012868368,0.00033787524,0.00020587201,0.00027355173],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023409033,0.00029014662,0.0003800911,0.00088457565,0.0009974797,0.00007321779,0.00022804578,0.00047988535,0.00043129295],"category_scores_gemma":[0.00002818321,0.00028835778,0.00015326374,0.00077802635,0.00038349477,0.00018536267,0.00001116015,0.0009927778,0.000009469322],"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":[0.0034265881,0.0040693837,0.49456236,0.0001830912,0.00017493944,0.00019268246,0.008679577,0.000002170713,0.0035116805,0.28421712,0.04384987,0.15713052],"study_design_scores_gemma":[0.003848725,0.0019495714,0.97457564,0.0002638802,0.00044114384,0.000024218156,0.009711634,0.000015996768,0.00009158599,0.0030381244,0.00560682,0.00043267477],"about_ca_topic_score_codex":0.00012158757,"about_ca_topic_score_gemma":0.0009784411,"teacher_disagreement_score":0.48001328,"about_ca_system_score_codex":0.00008622741,"about_ca_system_score_gemma":0.00009117497,"threshold_uncertainty_score":0.99995685},"labels":[],"label_agreement":null},{"id":"W4406959792","doi":"10.1016/j.trf.2025.01.019","title":"The effects of physical motion cues on driving performance in older and younger adults","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","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":"Toronto Metropolitan University; Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Poison control; Human factors and ergonomics; Injury prevention; Motion (physics); Occupational safety and health; Suicide prevention; Physical medicine and rehabilitation; Psychology; Simulation; Computer science; Engineering; Medical emergency; Medicine; Artificial intelligence","score_opus":0.024419911058472143,"score_gpt":0.37390490538839066,"score_spread":0.34948499432991853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406959792","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":[0.99739486,0.0001375257,0.00089114276,0.0010595969,0.000057724,0.0003279276,0.0000017371264,0.000018456245,0.000111043606],"genre_scores_gemma":[0.9991544,0.0005918847,0.000049916922,0.00004843466,0.000008944339,0.00008406911,0.000004692192,0.0000025360303,0.00005510957],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990892,0.00011127187,0.00016557761,0.00025862773,0.00017182762,0.00020352556],"domain_scores_gemma":[0.9992866,0.00036237275,0.000031022675,0.0002098239,0.00006430023,0.00004588525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004449635,0.00007044459,0.00010215386,0.0001450879,0.0001775129,0.000028137427,0.00017875365,0.000060146438,6.694322e-7],"category_scores_gemma":[0.000023285216,0.000052356852,0.000018663073,0.00038239165,0.00019728977,0.00016939061,0.000007428423,0.00024195178,0.0000014655762],"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":[0.00017871096,0.0013234146,0.12902513,0.00021585381,0.000021334148,0.000008226958,0.0059498413,0.00012693064,0.0013310873,0.05394035,0.0005274687,0.80735165],"study_design_scores_gemma":[0.00060744263,0.00029773233,0.9960498,0.00015070188,0.0000040300833,4.1415143e-7,0.00004807286,0.0019031478,0.00046926853,0.0002135049,0.00021165595,0.00004420917],"about_ca_topic_score_codex":0.00002026065,"about_ca_topic_score_gemma":0.00016394106,"teacher_disagreement_score":0.86702466,"about_ca_system_score_codex":0.000008692675,"about_ca_system_score_gemma":0.000021184476,"threshold_uncertainty_score":0.21350504},"labels":[],"label_agreement":null},{"id":"W4406973295","doi":"10.1016/j.trf.2025.01.029","title":"Distance and perception of safety of the built environment are predominant factors influencing walking and bicycling to school: A systematic review","year":2025,"lang":"en","type":"review","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Transport engineering; Poison control; Human factors and ergonomics; Engineering; Perception; Occupational safety and health; Injury prevention; Applied psychology; Forensic engineering; Psychology; Environmental health; Medicine","score_opus":0.08704304153074786,"score_gpt":0.43740974291036744,"score_spread":0.35036670137961956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406973295","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":[0.2559496,0.7409204,0.000025151094,0.000115825234,0.000060082068,0.0027573486,0.00014334882,0.000011213616,0.00001701281],"genre_scores_gemma":[0.20742972,0.79225004,0.000024914487,0.00001563686,0.000011987429,0.00014562806,0.000027349764,0.000008765782,0.00008594399],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.9965946,0.000941177,0.0011384616,0.00053126033,0.00049556576,0.00029892073],"domain_scores_gemma":[0.99852884,0.0003930874,0.00048132736,0.00034358352,0.00009826241,0.000154883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00258951,0.0002270992,0.0013189315,0.00017706593,0.0004091001,0.0000197351,0.00030515582,0.00026183383,0.000056702134],"category_scores_gemma":[0.0001876309,0.00015428971,0.00017608952,0.00048681506,0.000690731,0.00010312833,0.000014306485,0.00048320007,7.025938e-7],"study_design_candidate":"systematic_review","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":[0.000050698804,0.00021920478,0.15369715,0.7922975,0.000112186644,0.0000059368335,0.008933288,0.0000030692886,0.000004996115,0.00007903621,0.000057856014,0.04453911],"study_design_scores_gemma":[0.00028518148,0.000074367395,0.51593983,0.47238,0.0017925235,6.8564464e-7,0.003435495,4.807531e-7,7.375145e-7,0.000023845982,0.005783975,0.0002828659],"about_ca_topic_score_codex":0.00024190279,"about_ca_topic_score_gemma":0.0019436899,"teacher_disagreement_score":0.3622427,"about_ca_system_score_codex":0.00005362876,"about_ca_system_score_gemma":0.00016378447,"threshold_uncertainty_score":0.6291751},"labels":[],"label_agreement":null},{"id":"W4407408523","doi":"10.1016/j.trf.2025.02.002","title":"Cognitive decision process of pedestrians in street crossing: Insights from prototype willingness model","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Transport engineering; Decision process; Process (computing); Poison control; Cognition; Human factors and ergonomics; Willingness to pay; Pedestrian; Engineering; Computer science; Psychology; Environmental health; Process management; Medicine; Economics","score_opus":0.053282221804080286,"score_gpt":0.39589430136098447,"score_spread":0.3426120795569042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407408523","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":[0.9937037,0.0005089775,0.004415448,0.000044184795,0.00011443554,0.00068633247,0.00012675938,0.00009611716,0.00030403835],"genre_scores_gemma":[0.9991771,0.0002466012,0.00021597507,0.000013010749,0.000012252052,0.00015688846,0.00013815227,0.000016624463,0.000023400255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998589,0.00006459643,0.0004595884,0.0003567585,0.00024272938,0.00028731895],"domain_scores_gemma":[0.99940896,0.0001818651,0.000032358552,0.00014121729,0.00016048523,0.000075085954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023707259,0.00015567198,0.00026602868,0.0002794099,0.00013999693,0.0000195694,0.00014610462,0.00026962114,0.000018033033],"category_scores_gemma":[0.000016292173,0.00014744456,0.000039834766,0.00056467595,0.00034799284,0.00012676892,0.0000029260252,0.00050685304,0.0000021643293],"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":[0.0032469113,0.0017943862,0.5370809,0.00046290093,0.00014208272,0.00012921303,0.014212463,0.3624878,0.000902626,0.0010590043,0.00042172914,0.07806002],"study_design_scores_gemma":[0.0027683116,0.0001362,0.9749647,0.0005375686,0.000039401108,3.5502646e-7,0.0010217495,0.018844781,0.00046258038,0.00096428534,0.00007250219,0.00018756096],"about_ca_topic_score_codex":0.000039132672,"about_ca_topic_score_gemma":0.0022762704,"teacher_disagreement_score":0.43788385,"about_ca_system_score_codex":0.000014215339,"about_ca_system_score_gemma":0.00012457385,"threshold_uncertainty_score":0.60126144},"labels":[],"label_agreement":null},{"id":"W4408340973","doi":"10.1016/j.trf.2025.03.004","title":"Association of cognitive and physical traits with on-road driving performance in Brazilian older adults","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University; Institut Universitaire de Gériatrie de Montréal","funders":"Fundação de Apoio à Pesquisa do Distrito Federal","keywords":"Cognition; Human factors and ergonomics; Association (psychology); Poison control; Occupational safety and health; Injury prevention; Transport engineering; Suicide prevention; Gerontology; Engineering; Psychology; Environmental health; Medicine; Psychiatry","score_opus":0.04382997688010811,"score_gpt":0.45207025988345495,"score_spread":0.40824028300334686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408340973","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":[0.9968371,0.000049299942,0.000005764507,0.001536691,0.00006896204,0.00086648494,0.00003757746,0.000033371056,0.0005647992],"genre_scores_gemma":[0.9986963,0.00026745012,0.000016556525,0.000115029536,0.00002210846,0.000259111,0.000028288116,0.000010814913,0.00058428705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811137,0.00040605085,0.00035199436,0.00039487888,0.00029155993,0.0004441603],"domain_scores_gemma":[0.99848115,0.0009781275,0.00010721902,0.00008555496,0.00028525942,0.00006266839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079068093,0.0001338988,0.0002926174,0.00029663302,0.00036797716,0.0000043348537,0.000069620095,0.00017980742,0.000025791782],"category_scores_gemma":[0.00008037945,0.00011405971,0.000021740008,0.00042612405,0.0002389658,0.000100995756,0.0000062661043,0.00091442245,0.000005644312],"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":[0.0003771384,0.00046024483,0.9624717,0.00019730785,0.00004161606,0.0000054943116,0.017290704,0.0000061855076,0.000015833943,0.00004791076,0.0003596723,0.01872616],"study_design_scores_gemma":[0.003968441,0.00047878613,0.98876786,0.0026192698,0.000038869777,1.8555879e-7,0.003909013,0.00005324738,0.000017163182,0.000013349246,0.000040581308,0.0000932293],"about_ca_topic_score_codex":0.000047651105,"about_ca_topic_score_gemma":0.0077423295,"teacher_disagreement_score":0.026296131,"about_ca_system_score_codex":0.000035418678,"about_ca_system_score_gemma":0.00008211493,"threshold_uncertainty_score":0.465122},"labels":[],"label_agreement":null},{"id":"W4408357224","doi":"10.1016/j.trf.2025.03.005","title":"Effect of Traffic Sign’s Information Supply Speed on Driver Performance at Tunnel Entrances","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transport engineering; Sign (mathematics); Engineering; Automotive engineering; Poison control; Aeronautics; Computer science; Simulation; Medical emergency; Medicine","score_opus":0.029306383443665526,"score_gpt":0.37908859064797973,"score_spread":0.3497822072043142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408357224","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":[0.9948691,0.0002487675,0.000011412926,0.0005304376,0.0006415861,0.0008085907,0.00008687426,0.00008626587,0.0027169287],"genre_scores_gemma":[0.9976159,0.00035000118,0.0000109021175,0.00016327707,0.00003381421,0.00012117654,0.0002686982,0.0000135548935,0.0014227288],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99746627,0.00049710105,0.0006142563,0.00044552117,0.00041290608,0.000563948],"domain_scores_gemma":[0.9986932,0.0005840216,0.00014139734,0.0003215448,0.00014057619,0.000119228556],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015154836,0.00024343946,0.00038256065,0.00054464524,0.00031724843,0.000019149102,0.000255853,0.00032547629,0.0012818282],"category_scores_gemma":[0.000026450505,0.00021325982,0.00011581829,0.000534549,0.00048503804,0.00022082643,0.000006633682,0.000593048,0.00019491889],"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":[0.018059209,0.001543655,0.42242083,0.00070287153,0.0003899219,0.00009845632,0.018411921,0.0047394596,0.0025238302,0.0017694025,0.04024452,0.48909593],"study_design_scores_gemma":[0.0041582743,0.0023994113,0.98485327,0.0001368971,0.00007913471,0.0000044060084,0.0003150174,0.00011579589,0.00094259734,0.000006316402,0.006796572,0.00019232224],"about_ca_topic_score_codex":0.000022499655,"about_ca_topic_score_gemma":0.00006373049,"teacher_disagreement_score":0.5624324,"about_ca_system_score_codex":0.00003187092,"about_ca_system_score_gemma":0.000037116835,"threshold_uncertainty_score":0.9996311},"labels":[],"label_agreement":null},{"id":"W4409656380","doi":"10.1016/j.trf.2025.04.011","title":"Pedalling through Pixels: Decoding the methodological framework of virtual reality cycling research","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"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 Waterloo","funders":"","keywords":"Cycling; Decoding methods; Virtual reality; Pixel; Computer science; Poison control; Human–computer interaction; Human factors and ergonomics; Computer vision; Telecommunications; Geography; Medicine; Medical emergency","score_opus":0.4845495972420594,"score_gpt":0.5732857774263383,"score_spread":0.08873618018427892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409656380","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":[0.54967254,0.00042987408,0.43931672,0.009299795,0.00014670343,0.00042693113,0.00001569246,0.00006479602,0.0006269353],"genre_scores_gemma":[0.9840194,0.0014481831,0.01396527,0.000268205,0.000045972203,0.0001278985,0.000015185754,0.0000069321673,0.00010298211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.995433,0.0019430798,0.00062514417,0.0006832134,0.0006817539,0.0006338543],"domain_scores_gemma":[0.99419975,0.0043250984,0.000096047275,0.00079431955,0.00046693327,0.00011783962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011148247,0.00014271625,0.0002926263,0.00022423042,0.0008959487,0.000102089536,0.0010455004,0.00031711377,0.000028322464],"category_scores_gemma":[0.0006639081,0.00010646524,0.000087156164,0.0017862676,0.0009960262,0.0002659711,0.000055549805,0.0014928933,0.000007715386],"study_design_candidate":"theoretical_or_conceptual","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":[0.000183852,0.0006980327,0.0056941733,0.00005647996,0.00006372021,0.000015568376,0.0063515054,0.00088171184,0.0018434293,0.8628601,0.0037202672,0.11763116],"study_design_scores_gemma":[0.0018507192,0.0015800975,0.7061386,0.0006065721,0.000086582426,0.000014013881,0.0055228095,0.0079249665,0.002730167,0.25243506,0.020509223,0.00060118415],"about_ca_topic_score_codex":0.00013503207,"about_ca_topic_score_gemma":0.00016077897,"teacher_disagreement_score":0.70044446,"about_ca_system_score_codex":0.00002593541,"about_ca_system_score_gemma":0.00016107109,"threshold_uncertainty_score":0.6891004},"labels":[],"label_agreement":null},{"id":"W4410016326","doi":"10.1016/j.trf.2025.04.019","title":"From first ride to regular user: Understanding the factors influencing continuous use intention of autonomous taxis","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Natural Science Foundation of China","keywords":"Taxis; Transport engineering; Human factors and ergonomics; Poison control; Engineering; Computer science; Business; Computer security; Environmental health; Medicine","score_opus":0.0859722271544542,"score_gpt":0.35536889841966235,"score_spread":0.26939667126520817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410016326","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":[0.98534137,0.000050803264,0.012829041,0.0005661123,0.00023635874,0.0004956456,0.0001519399,0.00016413473,0.00016459532],"genre_scores_gemma":[0.99911034,0.000054694683,0.00019756712,0.00004924438,0.000009141151,0.00007121976,0.0001402526,0.000019780695,0.00034777453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988188,0.00005498761,0.00044295308,0.00025627602,0.00017946737,0.00024752333],"domain_scores_gemma":[0.9993149,0.00019639879,0.000038762624,0.0002554236,0.00012279616,0.00007171157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032492555,0.00013044951,0.00018602844,0.0003536496,0.00019107391,0.000032083834,0.00014302395,0.00013478273,0.0001288964],"category_scores_gemma":[0.000028069571,0.000116022755,0.00005415278,0.0006475423,0.00020184633,0.00013039229,0.0000026493399,0.00030226604,0.0000051050365],"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":[0.00015527169,0.00029682677,0.94167167,0.00011390696,0.00028987246,0.000018437511,0.014217268,0.012890284,0.0069275857,0.012748067,0.008272659,0.002398176],"study_design_scores_gemma":[0.00047945426,0.00005095181,0.98971057,0.0000954546,0.00005126517,2.9966833e-7,0.0039014257,0.00010085746,0.0005564229,0.0002082061,0.004737344,0.00010774628],"about_ca_topic_score_codex":0.0003606146,"about_ca_topic_score_gemma":0.006240857,"teacher_disagreement_score":0.048038926,"about_ca_system_score_codex":0.00004585325,"about_ca_system_score_gemma":0.000027049804,"threshold_uncertainty_score":0.47312707},"labels":[],"label_agreement":null},{"id":"W4410634274","doi":"10.1016/j.trf.2025.05.011","title":"Predicting emergency decision-making in conditionally automated driving from personality traits and heart rate","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Institute for Information and Communications Technology Promotion; Department of Artificial Intelligence, Korea University; National Research Foundation of Korea; Korea University","keywords":"Big Five personality traits; Personality; Poison control; Human factors and ergonomics; Medical emergency; Injury prevention; Engineering; Suicide prevention; Applied psychology; Psychology; Occupational safety and health; Computer science; Transport engineering; Social psychology; Medicine","score_opus":0.09128613873301666,"score_gpt":0.49437905269409693,"score_spread":0.40309291396108027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410634274","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":[0.9959095,0.00085550966,0.00011442545,0.0011604995,0.0005831562,0.0005172248,0.00029932,0.00018038788,0.0003799708],"genre_scores_gemma":[0.99874866,0.00012011659,0.00023431866,0.00021024607,0.00004378774,0.00023941716,0.0001710648,0.00001524728,0.00021713084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970807,0.0006196202,0.00078504876,0.0007131318,0.00023251055,0.00056900666],"domain_scores_gemma":[0.9989543,0.00047700733,0.000084067404,0.00015954503,0.0001563984,0.00016867803],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014739138,0.00018071955,0.00029159346,0.00046890642,0.00039963733,0.000027211398,0.00014631543,0.0003174488,0.0026381381],"category_scores_gemma":[0.000057164292,0.00019263217,0.0000791565,0.0005720412,0.00026529364,0.000162116,0.000009028293,0.00078700786,0.00002526183],"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":[0.0003005497,0.0006734891,0.96999735,0.000022642207,0.000033776494,0.000059845734,0.0018580877,0.000012622934,0.0002989477,0.00084925006,0.0079638325,0.017929627],"study_design_scores_gemma":[0.0013376154,0.00015827185,0.99584895,0.00034135956,0.000034151173,0.0000040108835,0.000761004,0.0002256722,0.0000022670763,0.00062911044,0.00052007753,0.00013749642],"about_ca_topic_score_codex":0.00057119323,"about_ca_topic_score_gemma":0.009839593,"teacher_disagreement_score":0.025851635,"about_ca_system_score_codex":0.00002821966,"about_ca_system_score_gemma":0.00007197501,"threshold_uncertainty_score":0.9982736},"labels":[],"label_agreement":null},{"id":"W4411046798","doi":"10.1016/j.trf.2025.05.036","title":"Advancing eHMI for powered wheelchairs beyond safety and communication: a pilot study on enriching social interaction through a co-design approach","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Persona Design and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario College of Art and Design; Concordia University","funders":"","keywords":"Engineering; Human factors and ergonomics; Poison control; Occupational safety and health; Suicide prevention; Injury prevention; Transport engineering; Medical emergency; Medicine","score_opus":0.1491076911625038,"score_gpt":0.45370205841195727,"score_spread":0.30459436724945343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411046798","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":[0.31485084,0.00023494949,0.67514706,0.0054192985,0.000109676825,0.002458916,0.00003804099,0.00017644063,0.0015647671],"genre_scores_gemma":[0.9862544,0.0001594317,0.012383039,0.00027480564,0.000022659462,0.00067312596,0.00007762135,0.000009982428,0.00014496809],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99800897,0.0004776141,0.00035131336,0.0005989765,0.00023140648,0.00033170002],"domain_scores_gemma":[0.9988652,0.000495142,0.00008099561,0.00035472438,0.0001354018,0.00006853721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014846068,0.00015519219,0.00021843366,0.00021694225,0.0011121447,0.00009912714,0.00038985017,0.000086916625,0.000004625292],"category_scores_gemma":[0.000017276529,0.00015603124,0.00003563722,0.00045803652,0.0001855418,0.00033087222,0.000013472254,0.00048083073,0.0000024039705],"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":[0.011079535,0.032806754,0.017989634,0.0003746202,0.00074849767,0.000046529916,0.16013002,0.0018553177,0.009874656,0.50728905,0.05158526,0.20622014],"study_design_scores_gemma":[0.024662584,0.01423617,0.8484402,0.000298196,0.00031376202,0.00003264478,0.037034754,0.026284633,0.00033250908,0.013537263,0.03309062,0.0017366734],"about_ca_topic_score_codex":0.000019988214,"about_ca_topic_score_gemma":0.00006349984,"teacher_disagreement_score":0.83045053,"about_ca_system_score_codex":0.0000345099,"about_ca_system_score_gemma":0.000060949988,"threshold_uncertainty_score":0.855383},"labels":[],"label_agreement":null},{"id":"W4412747555","doi":"10.1016/j.trf.2025.07.036","title":"Driver distraction in school zones: A roadside observational study in Canada","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","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":"University of Windsor; Windsor Clinical Research","funders":"Social Sciences and Humanities Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Distraction; Observational study; Poison control; Human factors and ergonomics; Injury prevention; Suicide prevention; Transport engineering; Occupational safety and health; Engineering; Forensic engineering; Medical emergency; Psychology; Medicine","score_opus":0.15800443094726763,"score_gpt":0.48414834844331234,"score_spread":0.3261439174960447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412747555","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":[0.9942521,0.00006221906,0.000040498177,0.0020760896,0.00084013207,0.0007966263,0.00003012545,0.000039591177,0.0018626141],"genre_scores_gemma":[0.9967261,0.000029987788,0.000021698117,0.00036167892,0.000029389328,0.00049228244,0.00014692669,0.000010454078,0.0021814585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973073,0.0005971526,0.0007587215,0.00056162896,0.00035984025,0.0004153423],"domain_scores_gemma":[0.9991264,0.00027287312,0.00007947647,0.00025851428,0.00014728728,0.0001154517],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009441666,0.00015803656,0.0002460227,0.0006289922,0.00015502794,0.000024376215,0.00016435327,0.0001528818,0.0033657104],"category_scores_gemma":[0.000042988693,0.00016976765,0.000035599398,0.00079704664,0.0000975955,0.00018772061,0.0000045219836,0.0009166603,0.00006207501],"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":[0.00036839177,0.0011767276,0.98215705,0.0000084745925,0.000030021878,0.00017674474,0.0016775934,0.00040638278,0.000020734908,0.0011312546,0.0093655195,0.003481104],"study_design_scores_gemma":[0.0025599,0.00009533453,0.986704,0.000041203763,0.000011732157,0.0000029717098,0.007026701,0.00009960488,0.0000016514769,0.00008156413,0.0032475956,0.00012776603],"about_ca_topic_score_codex":0.29740176,"about_ca_topic_score_gemma":0.9738387,"teacher_disagreement_score":0.67643696,"about_ca_system_score_codex":0.00026720183,"about_ca_system_score_gemma":0.0005796529,"threshold_uncertainty_score":0.99754536},"labels":[],"label_agreement":null},{"id":"W4413120257","doi":"10.1016/j.trf.2025.103329","title":"Social acceptance of autonomous vehicles. A cross-country model validation","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"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":"Agencia Estatal de Investigación; Universidad de Granada","keywords":"Transport engineering; Engineering; Poison control; Social acceptance; Model validation; Computer science; Aeronautics; Computer security; Psychology; Data science; Environmental health; Medicine; Social psychology","score_opus":0.1009769999407029,"score_gpt":0.5053483473591254,"score_spread":0.40437134741842246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413120257","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":[0.98708814,0.000113832924,0.0010850106,0.0010943266,0.00049940724,0.00036987703,0.00011886203,0.00012547162,0.009505097],"genre_scores_gemma":[0.9929383,0.000044935332,0.00009551521,0.00026197193,0.000052973362,0.0001775544,0.00018823154,0.000015179437,0.00622534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791664,0.00024618034,0.00067260343,0.000488204,0.00029921273,0.00037714824],"domain_scores_gemma":[0.9990383,0.00012219891,0.00014730653,0.0002596031,0.00035872957,0.00007385456],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00089403125,0.000154554,0.0002592861,0.00040461036,0.00038773305,0.00003840208,0.00021719515,0.00034223398,0.0014888223],"category_scores_gemma":[0.000017968006,0.0001654666,0.00008909557,0.00048662687,0.0005468759,0.00019046378,0.000005900707,0.0005698639,0.000059456434],"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":[0.004776783,0.0058103846,0.32883802,0.00039705125,0.00065683183,0.00009465305,0.04690444,0.0055744275,0.005217479,0.29919747,0.17924389,0.12328856],"study_design_scores_gemma":[0.0020822894,0.00009890593,0.9884585,0.000030925003,0.000042608404,0.0000027525446,0.00068383664,0.0008841746,0.00021826319,0.0007818172,0.0065523633,0.00016357233],"about_ca_topic_score_codex":0.000043340544,"about_ca_topic_score_gemma":0.00013153219,"teacher_disagreement_score":0.65962046,"about_ca_system_score_codex":0.000032959408,"about_ca_system_score_gemma":0.000102699814,"threshold_uncertainty_score":0.999424},"labels":[],"label_agreement":null},{"id":"W4413743288","doi":"10.1016/j.trf.2025.103341","title":"Driving performance is better predicted by unintentional rather than intentional mind-wandering in high density traffic","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":1,"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 Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Mind-wandering; Poison control; Human factors and ergonomics; Psychology; Injury prevention; Transport engineering; Occupational safety and health; Suicide prevention; Applied psychology; Cognitive psychology; Engineering; Medical emergency; Medicine; Psychiatry; Cognition","score_opus":0.056489876669907506,"score_gpt":0.3593020098105398,"score_spread":0.30281213314063227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413743288","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":[0.99694926,0.000038794577,0.00030437746,0.0018830067,0.00030107828,0.00029181363,0.00007691127,0.0000543893,0.000100347694],"genre_scores_gemma":[0.99737823,0.00015846825,0.0000547846,0.00025912828,0.000027547538,0.00007471935,0.00015099012,0.000012851674,0.0018832644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99779433,0.00023005783,0.000420461,0.0006754499,0.00040696474,0.00047273535],"domain_scores_gemma":[0.99946237,0.00011453926,0.00006066299,0.00016913099,0.00009721782,0.00009608875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063230697,0.00017281699,0.0001950341,0.00040831813,0.0003443156,0.00004956132,0.00018497853,0.00019475367,0.00039081514],"category_scores_gemma":[0.000029956684,0.0001727433,0.00006839954,0.00054753287,0.00038403596,0.00020684696,0.000010507261,0.0006744048,0.000016626429],"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":[0.00060403557,0.001445819,0.8819047,0.000101912636,0.00003967084,0.00008707229,0.0012230029,0.00038759736,0.058485165,0.0003235773,0.0093724085,0.046024993],"study_design_scores_gemma":[0.0016692128,0.00014096576,0.990541,0.00017503767,0.000018796156,0.000007722909,0.00012864015,0.0011037604,0.0052127265,0.000064994725,0.00077427406,0.00016290344],"about_ca_topic_score_codex":0.00001582191,"about_ca_topic_score_gemma":0.0002509666,"teacher_disagreement_score":0.10863622,"about_ca_system_score_codex":0.000029560582,"about_ca_system_score_gemma":0.000052209347,"threshold_uncertainty_score":0.7044267},"labels":[],"label_agreement":null},{"id":"W4414006620","doi":"10.1016/j.trf.2025.103349","title":"Optimizing in-vehicle auditory systems: how music and navigation shape driver workload via machine learning","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Workload; Poison control; Computer science; Engineering; Human–computer interaction; Automotive engineering; Simulation; Transport engineering; Medicine; Medical emergency","score_opus":0.06229702526851064,"score_gpt":0.4042771607852278,"score_spread":0.34198013551671713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414006620","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":[0.99362034,0.0012695284,0.0005712093,0.0014736598,0.0012031195,0.00050483673,0.00001740293,0.00014585818,0.0011940219],"genre_scores_gemma":[0.99586743,0.00025238702,0.00006825939,0.00014008,0.000086519045,0.00022122767,0.00013357378,0.000018573777,0.003211935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99753386,0.0007131333,0.00046332847,0.0006006541,0.00025611007,0.00043294576],"domain_scores_gemma":[0.9991375,0.00026297997,0.00011159035,0.00020574663,0.00015936623,0.00012281607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010709699,0.00018751844,0.00026953896,0.0005927336,0.00040087829,0.00007535226,0.00012942536,0.00031452242,0.0008849948],"category_scores_gemma":[0.000018867135,0.00019690202,0.000049756258,0.0005034489,0.0002931829,0.00023094837,0.000008107038,0.0011164295,0.000054620785],"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":[0.0022542828,0.0022050696,0.6926358,0.00046278417,0.00040894558,0.0006506267,0.043077067,0.003410616,0.005288266,0.0069277035,0.024429401,0.21824946],"study_design_scores_gemma":[0.0024626593,0.00017682496,0.97590303,0.00026986358,0.000035718476,0.00001412842,0.0027996234,0.005372768,0.000011935811,0.000038533388,0.012698775,0.00021611979],"about_ca_topic_score_codex":0.00011710283,"about_ca_topic_score_gemma":0.00045595758,"teacher_disagreement_score":0.28326726,"about_ca_system_score_codex":0.000041633008,"about_ca_system_score_gemma":0.000030833227,"threshold_uncertainty_score":0.96900725},"labels":[],"label_agreement":null},{"id":"W4414106809","doi":"10.1016/j.trf.2025.103358","title":"Examination of divergent results studying personality and unsafe driving behavior: facet heterogeneity and scale preferences","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"National Key Research and Development Program of China; Hebei Provincial Key Research Projects; National Natural Science Foundation of China","keywords":"Facet (psychology); Personality; Scale (ratio); Poison control; Human factors and ergonomics; Injury prevention","score_opus":0.07655457650990755,"score_gpt":0.36781457938890044,"score_spread":0.2912600028789929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414106809","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":[0.99804246,0.0007125271,0.00012917821,0.0001106053,0.00014185635,0.00037816743,0.00013272457,0.000084898886,0.0002675964],"genre_scores_gemma":[0.9980895,0.0015795911,0.000117999545,0.00000566675,0.00001136047,0.00005784348,0.00007119186,0.000007474302,0.00005940241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859285,0.00017251285,0.00037609332,0.0003712922,0.00022742397,0.0002598142],"domain_scores_gemma":[0.999543,0.0000887816,0.0000374359,0.00014091103,0.00009018863,0.000099664125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092400046,0.00014292213,0.00022079518,0.00018877945,0.00022415243,0.000018420575,0.000086899396,0.0001671999,0.000012715952],"category_scores_gemma":[0.000009836517,0.00013762394,0.000029604122,0.00021574585,0.00034451063,0.000109394794,0.000009799504,0.00031111774,6.1518676e-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":[0.00008849466,0.00033356601,0.9195826,0.00019570267,0.00006789601,0.000007939302,0.0044837845,0.00066721556,0.0010731757,0.00012786081,0.0002953231,0.07307643],"study_design_scores_gemma":[0.0009482636,0.00009816792,0.99724025,0.00006909423,0.00006128777,0.000001695933,0.0008019923,0.00024621794,0.00025433925,0.000009404334,0.00015704775,0.00011225656],"about_ca_topic_score_codex":0.000033760083,"about_ca_topic_score_gemma":0.0016438399,"teacher_disagreement_score":0.07765762,"about_ca_system_score_codex":0.00001293329,"about_ca_system_score_gemma":0.00001616363,"threshold_uncertainty_score":0.5612141},"labels":[],"label_agreement":null},{"id":"W4414445042","doi":"10.1016/j.trf.2025.103372","title":"Is road safety effective in promoting eco-driving? An experiment on how benefit framing affects eco-driving intentions among Montreal drivers","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Framing (construction); Poison control; Human factors and ergonomics; Occupational safety and health; Injury prevention; Suicide prevention","score_opus":0.018019787693843856,"score_gpt":0.3560428863818144,"score_spread":0.33802309868797054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414445042","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":[0.9960965,0.000023983486,0.00008417349,0.0015008847,0.00014773398,0.0012026365,0.000012504862,0.000053874406,0.0008777107],"genre_scores_gemma":[0.9987365,0.00006864903,0.00013319151,0.00012863067,0.000012200736,0.00037434854,0.00006224513,0.00001556976,0.00046864818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974408,0.0003923927,0.0003025852,0.0008716855,0.00042366362,0.00056887546],"domain_scores_gemma":[0.9991971,0.00015607671,0.0000731855,0.0003333632,0.000022134009,0.00021812678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010957692,0.00022272854,0.00023325699,0.0002503498,0.0005092812,0.000052288873,0.00021723215,0.00020910533,0.0007299976],"category_scores_gemma":[0.000044888748,0.00022926835,0.00007800708,0.00044331944,0.00062125863,0.0003450112,0.000024952622,0.00065327,0.000017074584],"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":[0.00006321816,0.0013446216,0.944887,0.000019849133,0.000014793901,0.000020759671,0.00814488,0.0009776363,0.0007418603,0.00004490309,0.00024597644,0.043494508],"study_design_scores_gemma":[0.0009118537,0.00035928006,0.99212873,0.00009438318,0.00001699659,7.447726e-7,0.0046336493,0.00094535126,0.00044427678,0.00007719645,0.00020377587,0.00018379027],"about_ca_topic_score_codex":0.000514681,"about_ca_topic_score_gemma":0.013105278,"teacher_disagreement_score":0.047241706,"about_ca_system_score_codex":0.00038264916,"about_ca_system_score_gemma":0.000024882793,"threshold_uncertainty_score":0.9349292},"labels":[],"label_agreement":null},{"id":"W4415256515","doi":"10.1016/j.trf.2025.103400","title":"Driving speed choice by novice, experienced, and offending drivers: The role of hazard perception, impulsivity, decision making and psychopathology","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Charles-Le Moyne; Université de Sherbrooke","funders":"Ferdowsi University of Mashhad; Cognitive Sciences and Technologies Council","keywords":"Psychopathology; Impulsivity; Moderation; Poison control; Injury prevention; Human factors and ergonomics","score_opus":0.01770857652477195,"score_gpt":0.35295324455739563,"score_spread":0.3352446680326237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415256515","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":[0.9964901,0.0012916595,0.001059245,0.00023270847,0.0002217795,0.000299647,0.000028253815,0.00008631321,0.00029028452],"genre_scores_gemma":[0.9979125,0.00162826,0.0002956882,0.00004327358,0.000027412136,0.00002694195,0.00001947751,0.000015666783,0.000030725103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985518,0.00011946904,0.00035866105,0.00040143417,0.00020902872,0.00035959884],"domain_scores_gemma":[0.9992806,0.00032064394,0.000042110583,0.00020090379,0.00007203807,0.00008373752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005992722,0.00017067116,0.00023929049,0.00024100645,0.00034606806,0.000030823303,0.00016303173,0.00021466624,0.000045575314],"category_scores_gemma":[0.000020481793,0.00014434372,0.000038636954,0.00033935223,0.00058297697,0.00014796127,0.000014164616,0.00046507083,0.000001846722],"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":[0.00013161894,0.00013999546,0.6866045,0.000068214475,0.000045445744,0.00001117788,0.005609697,0.0008613605,0.012490889,0.000306721,0.0024070889,0.29132327],"study_design_scores_gemma":[0.0008401327,0.00008908401,0.99097407,0.00012755673,0.00003591605,0.000012204105,0.0027501294,0.0019732295,0.00008118531,0.00011026539,0.0028651909,0.00014100953],"about_ca_topic_score_codex":0.000012246204,"about_ca_topic_score_gemma":0.00032414412,"teacher_disagreement_score":0.30436957,"about_ca_system_score_codex":0.000014404441,"about_ca_system_score_gemma":0.00001495031,"threshold_uncertainty_score":0.5886166},"labels":[],"label_agreement":null},{"id":"W4415546584","doi":"10.1016/j.trf.2025.103408","title":"Changes in driving after use of alcohol, cannabis, or both substances during the COVID-19 pandemic: Surveying a representative sample of Canadian drivers","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Transport Canada","keywords":"Sample (material); Poison control; Human factors and ergonomics; Occupational safety and health; Injury prevention","score_opus":0.16452254144194695,"score_gpt":0.44324656931731227,"score_spread":0.2787240278753653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415546584","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":[0.987105,0.00038471216,0.0000130537055,0.01122314,0.00006705641,0.00086270814,0.00029842017,0.000015163211,0.000030723844],"genre_scores_gemma":[0.9952132,0.0021568972,0.00004598254,0.00027074895,0.000015241126,0.00028208768,0.00006868096,0.000012804631,0.0019343646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767053,0.00046857452,0.00044077015,0.00044025813,0.00042680616,0.00055308704],"domain_scores_gemma":[0.9987427,0.00027755022,0.00007995556,0.0003119727,0.00027464493,0.00031317692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001707552,0.00014162443,0.0003542158,0.0014403511,0.00019632513,0.000018328734,0.00015492045,0.00016676103,0.00029216867],"category_scores_gemma":[0.00038829862,0.00010510082,0.0000652694,0.001734297,0.00088592136,0.00009510976,0.000009777467,0.0005619744,3.620002e-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":[0.00147796,0.00013711897,0.9852287,0.00021698175,0.000054424752,0.00017969344,0.0043773465,0.00007275594,0.0011001613,0.000041807085,0.006276997,0.0008360295],"study_design_scores_gemma":[0.0017944688,0.0001819868,0.98545194,0.00014325407,0.000035138644,0.000010056103,0.0025048736,0.000011989363,0.00027086455,0.000012712767,0.009496077,0.00008661672],"about_ca_topic_score_codex":0.13146813,"about_ca_topic_score_gemma":0.93679065,"teacher_disagreement_score":0.8053225,"about_ca_system_score_codex":0.00012114629,"about_ca_system_score_gemma":0.0008836365,"threshold_uncertainty_score":0.8743155},"labels":[],"label_agreement":null},{"id":"W4416566711","doi":"10.1016/j.trf.2025.103445","title":"Examining the association between driver perceptions with clinical tests and simulated driving performance in Canadian long-haul truck drivers","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":1,"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 Saskatchewan; Saskatchewan Health; Saskatchewan Health Authority","funders":"","keywords":"Human factors and ergonomics; Poison control; Injury prevention; Occupational safety and health; Cognition; Association (psychology); Perception; Truck; Suicide prevention","score_opus":0.1324951435506943,"score_gpt":0.4949284649022207,"score_spread":0.3624333213515264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416566711","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":[0.9951488,0.00003863842,0.000011157174,0.0032947888,0.00019030253,0.00084393314,0.00002642426,0.000053314834,0.00039265482],"genre_scores_gemma":[0.99788314,0.0005687824,0.000033372544,0.0002020146,0.000059090915,0.00009212908,0.000060719984,0.000014550225,0.0010861908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969099,0.0009583657,0.00057831063,0.00047760492,0.00027587466,0.0007999513],"domain_scores_gemma":[0.9973306,0.0018805912,0.00011138481,0.00021314129,0.00026735896,0.0001969271],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002935327,0.000157092,0.00030018974,0.00040117942,0.001528368,0.000019055527,0.00015539915,0.00036631196,0.000069844384],"category_scores_gemma":[0.00016895402,0.00012229872,0.000025377502,0.000617091,0.00041938527,0.00015232479,0.000012469223,0.0017339669,0.000018823346],"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":[0.000020034951,0.00004870837,0.9915104,0.000036211684,0.000059167436,0.000012343864,0.004760706,0.00008529523,0.0000019142253,0.000015743815,0.00074992504,0.0026995488],"study_design_scores_gemma":[0.0016369167,0.00015585909,0.9942308,0.00035713727,0.00008014614,3.365426e-7,0.0024704402,0.00008795834,2.2889675e-7,0.000007903694,0.0008555175,0.000116771465],"about_ca_topic_score_codex":0.007875065,"about_ca_topic_score_gemma":0.7485935,"teacher_disagreement_score":0.7407185,"about_ca_system_score_codex":0.00017006858,"about_ca_system_score_gemma":0.00035571962,"threshold_uncertainty_score":0.99977154},"labels":[],"label_agreement":null},{"id":"W4416929111","doi":"10.1016/j.trf.2025.103457","title":"Visual exploration strategies of experienced and non-experienced drivers during the takeover of an automated vehicle","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Human factors and ergonomics; Poison control; Visualization; Occupational safety and health; Automation","score_opus":0.05464739209490835,"score_gpt":0.47975203191331367,"score_spread":0.4251046398184053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416929111","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":[0.99792093,0.000038382575,0.00015395459,0.00029607327,0.00027417985,0.0003705161,0.000020045312,0.000096642674,0.000829253],"genre_scores_gemma":[0.9993486,0.000049310405,0.000039766528,0.000038772625,0.000014196758,0.00015412668,0.000040543127,0.000007926813,0.00030680333],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9983965,0.00029245028,0.00048862037,0.00034581972,0.00024044044,0.00023612569],"domain_scores_gemma":[0.9992551,0.000106775005,0.00012877476,0.0002242769,0.00021625658,0.00006881118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045213077,0.000120426055,0.00019953113,0.00027946391,0.00028846166,0.000028136188,0.00014771229,0.00015651358,0.00059860066],"category_scores_gemma":[0.000011087832,0.00010125301,0.000040070725,0.0004005746,0.0007421545,0.0004184155,0.0000056010535,0.00026240508,0.000004921466],"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":[0.00633755,0.0055831424,0.16061372,0.00043241883,0.0005431572,0.000120949895,0.5007136,0.0025362705,0.2526074,0.030730123,0.0046804957,0.03510117],"study_design_scores_gemma":[0.001492803,0.00033161932,0.9327354,0.000034107747,0.000017177259,0.0000022325653,0.06195039,0.00097239495,0.0021457977,0.000039431176,0.00019601652,0.00008263076],"about_ca_topic_score_codex":0.00007848521,"about_ca_topic_score_gemma":0.0003075036,"teacher_disagreement_score":0.77212167,"about_ca_system_score_codex":0.000010663502,"about_ca_system_score_gemma":0.000053527277,"threshold_uncertainty_score":0.6554257},"labels":[],"label_agreement":null},{"id":"W7115707815","doi":"10.1016/j.trf.2025.103489","title":"Preliminary efficacy of ‘high-alert’ a brief smartphone intervention to reduce Cannabis-impaired driving among youth: A pilot randomized controlled trial","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; Western University","funders":"","keywords":"Randomized controlled trial; Psychological intervention; Poison control; Intervention (counseling); Injury prevention; Occupational safety and health; Suicide prevention; Brief intervention","score_opus":0.04408072635744051,"score_gpt":0.3923660823300946,"score_spread":0.3482853559726541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115707815","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":[0.981114,0.00045286174,0.00021780435,0.0073886,0.0005795689,0.009890522,0.000052135245,0.00008682199,0.00021769566],"genre_scores_gemma":[0.98651457,0.0001725318,0.00005740633,0.000111824425,0.00011761126,0.0026121899,0.0002267569,0.000032574826,0.010154515],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99492943,0.0012649404,0.0014723522,0.00079684716,0.0008254037,0.00071104325],"domain_scores_gemma":[0.9978393,0.00027998447,0.00021138045,0.00050732377,0.00073534244,0.00042671597],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0049999747,0.0003005617,0.001689346,0.0011439577,0.000246788,0.000041916865,0.00023271832,0.0002824308,0.00026837178],"category_scores_gemma":[0.000847409,0.00025150867,0.0005636069,0.0010295341,0.0009664075,0.00010051396,0.000022099717,0.00083816337,0.000005795456],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9652576,0.0039325203,0.0031085692,0.00017704187,0.0003986236,0.000068128655,0.0018618444,0.00004476918,0.0011106632,0.00013394262,0.016077874,0.007828412],"study_design_scores_gemma":[0.6113404,0.0041893767,0.382298,0.00049348606,0.00045844135,0.0000038568237,0.0004898329,0.00003870407,0.0003880777,0.000019525136,0.00014317562,0.00013713214],"about_ca_topic_score_codex":0.0012601133,"about_ca_topic_score_gemma":0.000942765,"teacher_disagreement_score":0.37918943,"about_ca_system_score_codex":0.000060598162,"about_ca_system_score_gemma":0.00035695956,"threshold_uncertainty_score":0.99999374},"labels":[],"label_agreement":null},{"id":"W785655322","doi":"10.1016/j.trf.2015.05.001","title":"Driving in the fasting month of Ramadan: An observational study on speeding, horn honking, and using seat belts","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Dietary Effects on Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"French horn; Intersection (aeronautics); Geography; Engineering; Psychology; Transport engineering","score_opus":0.5331566833738204,"score_gpt":0.5330062560976436,"score_spread":0.00015042727617675666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W785655322","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":[0.99752295,0.00011088857,0.000013347797,0.0010470212,0.000090627036,0.001111355,0.0000105404215,0.000022932249,0.00007036406],"genre_scores_gemma":[0.9993055,0.00003141485,0.00029226075,0.00016487119,0.00007100604,0.000036684796,0.00006370585,0.00001551367,0.000019056137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977017,0.0004955196,0.00039966265,0.0003968488,0.000663775,0.00034247228],"domain_scores_gemma":[0.9990466,0.0002666005,0.000081418526,0.00021819299,0.00018836521,0.00019882675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003586219,0.00013450018,0.00027793334,0.0002885499,0.0001448639,0.000017668886,0.00010403467,0.00010771331,0.000010344496],"category_scores_gemma":[0.00009347503,0.000105674706,0.000024576697,0.00038956778,0.00020758221,0.00015055503,0.0000043051764,0.0005911677,9.425981e-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":[0.00047090134,0.00145172,0.98419625,0.00004005399,0.000016574464,0.00013258395,0.008047591,0.00024038949,0.00029982155,0.000047166748,0.00016489689,0.0048920633],"study_design_scores_gemma":[0.002727263,0.0037704892,0.9869064,0.00014005914,0.000049158145,0.000017324863,0.00533623,0.0008877847,0.000013567879,0.000021540389,0.00004990831,0.00008028262],"about_ca_topic_score_codex":0.0002574797,"about_ca_topic_score_gemma":0.0016211653,"teacher_disagreement_score":0.0048117805,"about_ca_system_score_codex":0.000025579664,"about_ca_system_score_gemma":0.00011400078,"threshold_uncertainty_score":0.43092895},"labels":[],"label_agreement":null}]}