{"id":"W6886066141","doi":"10.14288/1.0412187","title":"Prescription opioid use among drivers in British Columbia, 1997–2016","year":2022,"lang":"en","type":"article","venue":"Open Collections","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Opioid; Poison control; Limiting; Opioid overdose; Injury prevention; Pharmacoepidemiology; Epidemiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004536285,0.0003241242,0.0003968157,0.002224817,0.001834779,0.001367463,0.001210075,0.000391353,0.00264789],"category_scores_gemma":[0.002414431,0.0003817544,0.0004196661,0.00656842,0.000533236,0.0004176756,0.0008554849,0.0007490744,0.0005579925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0200357,"about_ca_system_score_gemma":0.02371873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941093,"about_ca_topic_score_gemma":0.996433,"domain_scores_codex":[0.9991432,0.00004137131,0.00009891691,0.0001565407,0.0003379977,0.0002219573],"domain_scores_gemma":[0.9972022,0.0001152852,0.0004240641,0.00007333676,0.001808049,0.0003771291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005800497,0.00002727116,0.9809699,0.0002123248,0.00009650495,0.0001389026,0.000501151,0.0002449976,0.0001167708,0.00006279547,0.009084877,0.008486436],"study_design_scores_gemma":[0.000005632953,0.000007418923,0.9955176,0.0001008197,0.00002889516,0.00006144885,0.0007395884,0.0002046118,0.00004762721,0.00001624245,0.003259169,0.00001108298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801029,0.004236063,0.0002747937,0.001261693,0.00007670625,0.0001375321,0.107263,0.00008148559,0.006565866],"genre_scores_gemma":[0.9653473,0.003250524,0.0003779928,0.0004803702,0.0000302413,0.0001170607,0.02626609,0.00002518619,0.004105133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0200357,"threshold_uncertainty_score":0.1453698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408909888447256,"score_gpt":0.242534511641106,"score_spread":0.2284454127566334,"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."}}