{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004749334,0.0003436604,0.0004013532,0.002085716,0.001822839,0.001322186,0.001290766,0.0004120602,0.002394273],"category_scores_gemma":[0.002305022,0.0004096743,0.0004450477,0.006240369,0.0005518466,0.0004257169,0.0009429951,0.0007794901,0.0005784585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02042285,"about_ca_system_score_gemma":0.0222863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992929,"about_ca_topic_score_gemma":0.9956231,"domain_scores_codex":[0.9991653,0.00004043426,0.00009382,0.0001474779,0.0003425644,0.0002103689],"domain_scores_gemma":[0.9973459,0.00009992479,0.0004111328,0.00007061579,0.001720238,0.0003521045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006003803,0.00002520302,0.9829112,0.0001929338,0.000100893,0.000137264,0.000504973,0.0002306879,0.0001239277,0.00004929221,0.008218616,0.007445042],"study_design_scores_gemma":[0.000005005452,0.000006938185,0.9959837,0.00008164735,0.00002499387,0.00005352741,0.0007217,0.000176165,0.00004042323,0.00001235544,0.002884191,0.000009416414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89269,0.00356831,0.0002602608,0.00110184,0.00007480208,0.0001356589,0.0962273,0.00007242589,0.005869329],"genre_scores_gemma":[0.964438,0.002817652,0.0003489075,0.0004468434,0.00002637768,0.0001239393,0.02784913,0.0000215436,0.003927765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02042285,"threshold_uncertainty_score":0.1481788,"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."}}