{"id":"W1964011171","doi":"10.1016/j.aap.2003.07.004","title":"Collisions and traffic violations of alcohol, cannabis and cocaine abuse clients before and after treatment","year":2003,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Ministère des Transports","keywords":"Cannabis; Poison control; Injury prevention; Population; Driving under the influence; Medicine; Treatment and control groups; Occupational safety and health; Human factors and ergonomics; Psychiatry; Suicide prevention; Psychology; Medical emergency; Environmental health; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001121989,0.0001339407,0.0002502108,0.0002220497,0.00007747261,0.00002388983,0.00002385238,0.000064231,0.00004556455],"category_scores_gemma":[0.000008045921,0.0001163644,0.0001023402,0.000370283,0.00003293124,0.0001454739,0.000009417589,0.0000400185,0.00000108516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003983829,"about_ca_system_score_gemma":0.000007081491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002880681,"about_ca_topic_score_gemma":0.006371172,"domain_scores_codex":[0.9992747,0.00004128879,0.0002786678,0.0001833959,0.00009750156,0.0001244826],"domain_scores_gemma":[0.9996757,0.00001718092,0.00005274733,0.0001430696,0.00003156451,0.00007977328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001457581,0.0000969947,0.9660617,0.000008171665,0.001084916,0.000002378505,0.00149779,0.02156759,0.00006730787,0.0001308617,0.00002912358,0.009438572],"study_design_scores_gemma":[0.0006842613,0.00008149038,0.9789993,0.00002277916,0.001792299,0.000003679569,0.0001896836,0.01763598,0.00008633752,0.0000637707,0.0003250662,0.0001153628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972053,0.001130379,0.001311668,0.00002348788,0.00003152621,0.0001949703,0.00000341883,0.00003803635,0.00006119911],"genre_scores_gemma":[0.9977946,0.001392107,0.000411668,0.000003443442,0.000009165015,0.00003442471,0.00004377387,0.00001106289,0.0002997669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01293757,"threshold_uncertainty_score":0.4745204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006854960447150802,"score_gpt":0.2406391037571415,"score_spread":0.2337841433099907,"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."}}