{"id":"W238229935","doi":"","title":"Effects of Distractions on Injury Severity in Police-Involved Crashes","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Odds; Distraction; Patrolling; Crash; Poison control; Injury prevention; Officer; Distracted driving; Human factors and ergonomics; Psychology; Computer security; Ordered logit; Odds ratio; Occupational safety and health; Suicide prevention; Logistic regression; Applied psychology; Engineering; Medicine; Medical emergency; Computer science; Political science; Law; Cognitive psychology","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":[0.002827867,0.0004930231,0.0003495077,0.001389666,0.0002771895,0.001135977,0.0003985936,0.0005715896,0.00236935],"category_scores_gemma":[0.02105384,0.0002742687,0.001664878,0.0005658255,0.0005358696,0.0006335169,0.001143513,0.0007352186,0.0001927737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666458,"about_ca_system_score_gemma":0.0003759239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005614028,"about_ca_topic_score_gemma":0.004477793,"domain_scores_codex":[0.996978,0.001846464,0.0002228258,0.000256794,0.0003414058,0.0003543693],"domain_scores_gemma":[0.9674932,0.02472783,0.005126893,0.0007984281,0.0007064953,0.001147241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001418777,0.0006329021,0.984376,0.00005673425,0.0005411919,0.0001695718,0.0002005554,0.006515184,0.0005999877,0.0001974659,0.00009549198,0.005196144],"study_design_scores_gemma":[0.00003798699,0.001761999,0.985443,0.00002664366,0.0002471272,0.0002046496,0.0004037341,0.01102276,0.0004444794,0.0002449531,0.0001394284,0.00002320958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990183,0.0001565928,0.0002759883,0.00003853678,0.0000043166,0.00001360532,0.0001334887,0.000006436599,0.0003527968],"genre_scores_gemma":[0.9995863,0.00006563954,0.00009458693,0.000008451895,0.000003812279,0.000009081995,0.0001205139,0.000001104161,0.0001105309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005614028,"threshold_uncertainty_score":0.0149554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355773329532689,"score_gpt":0.333506148278401,"score_spread":0.2899484149830741,"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."}}