{"id":"W1996022578","doi":"10.1080/15389580309851","title":"Collision and Violation Involvement of Drivers Who Use Cellular Telephones","year":2003,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Insight Electronics (Canada)","funders":"","keywords":"Phone; Poison control; Crash; Computer security; Injury prevention; Collision; Occupational safety and health; Logistic regression; Human factors and ergonomics; Suicide prevention; Sample (material); Demography; Engineering; Psychology; Computer science; Medicine; Environmental health; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004688145,0.0001956725,0.0002674831,0.001147129,0.0006158615,0.0008968209,0.0003895359,0.000431539,0.002485081],"category_scores_gemma":[0.003090629,0.0003529891,0.0003840588,0.0008831544,0.0002342537,0.0006609994,0.001043641,0.0004535749,0.0003144626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948919,"about_ca_system_score_gemma":0.0003217321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007932529,"about_ca_topic_score_gemma":0.01264972,"domain_scores_codex":[0.9993103,0.000139879,0.00009848057,0.0001290968,0.0001583318,0.0001639777],"domain_scores_gemma":[0.998024,0.0004110872,0.0009400703,0.0001192079,0.0002289898,0.0002766837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000544464,0.00003565037,0.9988808,0.000003793451,0.000009485379,0.00004753381,0.000238098,0.00000763768,0.0000566161,0.000007672563,0.00002544306,0.0006328074],"study_design_scores_gemma":[0.000002095162,0.00006692811,0.9987347,0.000003021577,0.0000103553,0.0002371082,0.0007025377,0.00007372174,0.00004486883,0.00001120864,0.0001107109,0.000002836457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996909,0.0000445486,0.00001741013,0.000007119801,0.000001352566,0.000004159523,0.00009523681,8.477648e-7,0.0001385304],"genre_scores_gemma":[0.9995481,0.00004430183,0.0000187879,0.00000521545,0.000003331146,0.000005321512,0.0001669063,7.854907e-7,0.0002071908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007932529,"threshold_uncertainty_score":0.01577276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054371991515002,"score_gpt":0.2109985305894416,"score_spread":0.2004548106742916,"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."}}