{"id":"W1155379187","doi":"","title":"Prevalence of Drug Use in Injured British Columbia Drivers","year":2014,"lang":"en","type":"article","venue":"","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Injury prevention; Poison control; Driving under the influence; Occupational safety and health; Suicide prevention; Human factors and ergonomics; Environmental health; Psychological intervention; Public health; Medical prescription; Cannabis; Medical emergency; Drunk drivers; Epidemiology; Psychiatry; Drunk driving; Pharmacology; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002470291,0.0002601631,0.0003135725,0.002587073,0.00164074,0.001115356,0.001134457,0.0005902728,0.005077444],"category_scores_gemma":[0.001120345,0.0004257283,0.0003140467,0.002915641,0.0003479579,0.0004472796,0.0006142491,0.0006147361,0.001013678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005343446,"about_ca_system_score_gemma":0.004056497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9589771,"about_ca_topic_score_gemma":0.9662525,"domain_scores_codex":[0.999498,0.00003036064,0.00005305833,0.00007814473,0.0002321116,0.000108348],"domain_scores_gemma":[0.9985103,0.00006936902,0.0002638445,0.00004172234,0.0007682838,0.0003464825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004982871,0.00005253944,0.9951636,0.00003251191,0.00002411559,0.00008332571,0.0002732828,0.00003084537,0.0002037228,0.00001334933,0.001458162,0.002614717],"study_design_scores_gemma":[0.00000176954,0.00001096671,0.9988871,0.00001493118,0.000006224732,0.00005073702,0.0006046895,0.00006396798,0.00002668304,0.000003944583,0.0003227027,0.000006273207],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838009,0.0007413911,0.00003780842,0.0002016265,0.00002256426,0.00005591614,0.009569518,0.00002665925,0.005543606],"genre_scores_gemma":[0.9915575,0.0008894312,0.00006910919,0.0001419051,0.00000802759,0.00003090713,0.003577926,0.000008358277,0.003716839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0410229,"threshold_uncertainty_score":0.08252895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03729070217799322,"score_gpt":0.3472410488371738,"score_spread":0.3099503466591806,"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."}}