{"id":"W2110298753","doi":"10.1016/s0140-6736(03)13770-1","title":"Traffic-law enforcement and risk of death from motor-vehicle crashes: case-crossover study","year":2003,"lang":"en","type":"article","venue":"The Lancet","topic":"Traffic and Road Safety","field":"Engineering","cited_by":155,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"General Motors Corporation","keywords":"Conviction; Crash; Law enforcement; Injury prevention; Enforcement; Poison control; Human factors and ergonomics; Occupational safety and health; Suicide prevention; Medicine; Environmental health; Business; Law; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001968561,0.0001097265,0.0002308499,0.000009964811,0.00009193253,0.000018379,0.0001007167,0.00003571198,0.00007482519],"category_scores_gemma":[0.000009522921,0.00007293973,0.00003034702,0.00004411254,0.00003923411,0.00004200681,0.00001702639,0.0001298837,0.000009610208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001630052,"about_ca_system_score_gemma":0.000004461578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006133717,"about_ca_topic_score_gemma":0.0004397667,"domain_scores_codex":[0.9994068,0.00005206752,0.0001554616,0.0001080513,0.00009934126,0.0001783046],"domain_scores_gemma":[0.9995252,0.0000884889,0.00002766683,0.0003127371,0.00001005536,0.00003582326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005566067,0.0007438285,0.3207782,0.000195258,0.002553498,0.0003989455,0.0426056,0.5780138,0.001253963,0.03234804,0.006178014,0.01437416],"study_design_scores_gemma":[0.02526182,0.0009584064,0.740278,0.0001250791,0.001117589,0.000192265,0.01557749,0.1264474,0.003878652,0.001490887,0.0830789,0.001593504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992228,0.0004873129,0.0001789064,0.000006833379,0.0001128774,0.0002805921,0.00008609786,0.0001087623,0.006510599],"genre_scores_gemma":[0.9994382,0.0001685588,0.0001874335,0.00002438979,0.0001022368,0.00001147289,0.000001710704,0.00001602041,0.00004995885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4515665,"threshold_uncertainty_score":0.2974396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812677147004356,"score_gpt":0.2305428313279756,"score_spread":0.212416059857932,"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."}}