{"id":"W1991194841","doi":"10.1016/j.aap.2008.02.003","title":"A logistic model of the effects of roadway, environmental, vehicle, crash and driver characteristics on hit-and-run crashes","year":2008,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Motor Association Foundation for Traffic Safety","keywords":"Crash; Transport engineering; Logistic regression; Engineering; Poison control; Bridge (graph theory); Injury prevention; Aeronautics; Forensic engineering; Computer security; Computer science; Environmental health; Medicine; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007097648,0.002177166,0.002328391,0.002060145,0.0009692213,0.00329806,0.005183161,0.003527422,0.01749641],"category_scores_gemma":[0.01426328,0.001890547,0.00337907,0.002687947,0.001756296,0.002850673,0.001916892,0.003819658,0.004923513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509538,"about_ca_system_score_gemma":0.002679005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03151719,"about_ca_topic_score_gemma":0.01717206,"domain_scores_codex":[0.9969844,0.001567168,0.0001425626,0.0005722281,0.0001881893,0.0005453931],"domain_scores_gemma":[0.9820217,0.01403832,0.001292145,0.0008385472,0.001128261,0.0006810277],"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":[0.008639924,0.002026231,0.1525952,0.0005496751,0.002490827,0.003572292,0.001186158,0.7450078,0.002728184,0.04066387,0.008410892,0.03212897],"study_design_scores_gemma":[0.001162171,0.001152411,0.02617104,0.00007552162,0.001195037,0.0007363569,0.0003712157,0.9491941,0.0004801259,0.0156809,0.003615177,0.0001659589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7871354,0.002433679,0.1791022,0.007253858,0.0005276848,0.0005264016,0.0124939,0.001442954,0.009083948],"genre_scores_gemma":[0.9449161,0.00155337,0.007738695,0.0003240582,0.000345342,0.0004003276,0.004198764,0.0001313069,0.04039202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03151719,"threshold_uncertainty_score":0.06266743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009387498787978767,"score_gpt":0.1969731776049895,"score_spread":0.1875856788170108,"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."}}