{"id":"W1492477978","doi":"","title":"MEDICINAL DRUGS AND TRAFFIC COLLISIONS: EVIDENCE, ISSUES AND CHALLENGES","year":2000,"lang":"en","type":"article","venue":"QUT ePrints (Queensland University of Technology)","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Epidemiology; Drug; Poison control; Environmental health; Injury prevention; Human factors and ergonomics; Developed country; Population; Traditional medicine; Psychiatry; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009842154,0.0001220147,0.0003287643,0.000246443,0.0000948966,0.000002727955,0.00009241165,0.0001719511,0.0003494731],"category_scores_gemma":[0.0000332804,0.0001067159,0.00003669096,0.0001637963,0.0004560974,0.00008740304,0.00004253487,0.0001295056,0.00002425977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002427784,"about_ca_system_score_gemma":0.00002563718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003605067,"about_ca_topic_score_gemma":0.00006603937,"domain_scores_codex":[0.9993399,0.00001504197,0.00009840396,0.0002682376,0.0001272628,0.0001510887],"domain_scores_gemma":[0.9995343,0.000070362,0.00004229592,0.0002346452,0.00004490692,0.00007348101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005995402,0.0001623173,0.3852389,0.0001239974,0.0002334665,0.0003210962,0.004225234,0.000001354272,0.0001147157,0.001410633,0.0004846979,0.607084],"study_design_scores_gemma":[0.007195409,0.0007536185,0.900163,0.001551228,0.0005736268,0.000200357,0.02282221,0.000103348,0.000877882,0.0009624611,0.0644475,0.0003493673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626766,0.02103343,0.000001396958,0.01450642,0.00001460142,0.0001856583,0.000001216033,0.0001247079,0.001455908],"genre_scores_gemma":[0.8684752,0.1283762,0.001123659,0.0000261447,0.00001064577,3.494576e-7,0.000001264157,0.000005352435,0.001981252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6067347,"threshold_uncertainty_score":0.4351747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619805127345073,"score_gpt":0.2524024992784363,"score_spread":0.2262044480049856,"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."}}