{"id":"W2042029473","doi":"10.1080/15389581003735626","title":"A Roadside Survey of Alcohol and Drug Use Among Drivers in British Columbia","year":2010,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre on Substance Use and Addiction","funders":"","keywords":"Cannabis; Drug; Environmental health; Poison control; Medicine; Alcohol; Injury prevention; Driving under the influence; Human factors and ergonomics; Sample (material); Occupational safety and health; Suicide prevention; Demography; Psychiatry; Biology; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001999555,0.0001213054,0.0003400624,0.0001254165,0.0001459742,0.00005020298,0.0001405121,0.0004499227,0.001137868],"category_scores_gemma":[0.0002866701,0.0001932084,0.00009990259,0.0003518423,0.0005784939,0.0002704185,0.00005302739,0.0009178233,0.00001248059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002315262,"about_ca_system_score_gemma":0.000070187,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01505219,"about_ca_topic_score_gemma":0.7341321,"domain_scores_codex":[0.997896,0.0008840152,0.000470925,0.0003363004,0.0001114417,0.0003013344],"domain_scores_gemma":[0.9990338,0.0003560534,0.0002099274,0.000172548,0.00009707215,0.0001306013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001272995,0.0004335825,0.9500624,0.00002058917,0.0001387637,0.00002293633,0.0003458115,0.0004283928,0.00278725,0.00002753792,0.004973563,0.04063187],"study_design_scores_gemma":[0.001417436,0.00008010649,0.9932495,0.00002372384,0.000161045,0.00001322249,0.00008431843,0.003295118,0.0007469003,0.0001452138,0.000591656,0.0001917612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986651,0.0000461164,0.000006104797,0.00003442034,0.0005939949,0.0003473378,0.0000739134,0.00004967429,0.0001833271],"genre_scores_gemma":[0.9960487,0.00008969345,0.0001464922,0.00008363665,0.0000302878,0.00002401949,0.00009188415,0.00001490475,0.00347034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7190799,"threshold_uncertainty_score":0.9997752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434607494127539,"score_gpt":0.3661511242423716,"score_spread":0.3218050493010962,"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."}}