{"id":"W3177431316","doi":"10.1016/j.aap.2021.106232","title":"Massive GNSS data for road safety analysis: Comparing crash models for several Canadian cities and data sources","year":2021,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Polytechnique Montréal; Université de Montréal; HEC Montréal","funders":"Institut de Valorisation des Données","keywords":"Crash; Data collection; Transport engineering; Poison control; Statistics; Bayesian probability; Computer science; Engineering; Econometrics; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005878414,0.0002221945,0.0006130831,0.0004958526,0.0003032607,0.0002078884,0.000675195,0.0001088776,0.00008474952],"category_scores_gemma":[0.00005688328,0.000238283,0.0003109316,0.0009210589,0.00002379068,0.0009552322,0.0003095847,0.0001004911,0.00000162303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110449,"about_ca_system_score_gemma":0.0001004462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005006605,"about_ca_topic_score_gemma":0.6886672,"domain_scores_codex":[0.9981583,0.00005950664,0.0005282396,0.0006733245,0.0001966189,0.0003839888],"domain_scores_gemma":[0.9981731,0.0001045846,0.0001084888,0.001323504,0.0001216849,0.0001685969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001841502,0.0000195239,0.07835516,0.00002287413,0.01262344,0.000002781199,0.0002632698,0.9011084,0.000007866294,0.0002669672,0.001355135,0.005956093],"study_design_scores_gemma":[0.0004086661,0.000006472181,0.1140771,0.00002475789,0.01249934,0.000001046819,0.0006810175,0.870443,0.00001324535,0.000435788,0.001155571,0.0002539245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1979486,0.001962494,0.7985806,0.0002186155,0.000138907,0.0003958,0.0004269624,0.0001203637,0.0002075892],"genre_scores_gemma":[0.9641519,0.000402456,0.00514066,0.00002378221,0.0001169874,0.00003269595,0.02955827,0.00002542189,0.0005478573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.79344,"threshold_uncertainty_score":0.97169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05183675835908574,"score_gpt":0.2893402491221146,"score_spread":0.2375034907630288,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}