{"id":"W3118707992","doi":"10.1136/injuryprev-2020-043989","title":"Prescription opioid use among drivers in British Columbia, 1997–2016","year":2021,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Medical prescription; Opioid; Medicine; Population; Poison control; Psychological intervention; Injury prevention; Environmental health; Demography; Psychiatry; Pharmacology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001095828,0.00009416265,0.000218529,0.00006194803,0.00005639866,0.000171384,0.00005738523,0.0001229692,0.0005987525],"category_scores_gemma":[0.00012972,0.0001599708,0.0001329664,0.0002453031,0.0000392102,0.0004376592,0.00007286814,0.0001511609,0.0000592705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002403101,"about_ca_system_score_gemma":0.000177672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01248486,"about_ca_topic_score_gemma":0.04753659,"domain_scores_codex":[0.9987515,0.0001093004,0.0003054491,0.0003688803,0.0002391001,0.0002257286],"domain_scores_gemma":[0.9993695,0.00001702813,0.00007960733,0.0003479297,0.00009798384,0.00008792896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002854936,0.000974571,0.9387308,0.0001014773,0.00006908579,0.0002281864,0.0002094603,0.000001837238,0.002607671,0.000005920131,0.01262618,0.04441621],"study_design_scores_gemma":[0.001766192,0.000213711,0.9888198,0.0008132436,0.0001161339,0.00002288964,0.0002852741,0.00005946743,0.0007764581,0.0006113062,0.006383799,0.0001317198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979506,0.0003279905,0.00009420337,0.0001011264,0.0003597004,0.0006380851,0.00006038854,0.00008026078,0.0003876157],"genre_scores_gemma":[0.969636,0.0005539381,0.001011333,0.000085021,0.00006041729,0.0001032743,0.0007121699,0.00002669877,0.02781112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05008896,"threshold_uncertainty_score":0.9940911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133225183559248,"score_gpt":0.2601209652082553,"score_spread":0.2487887133726629,"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."}}