{"id":"W2069111680","doi":"10.12927/hcq.2011.22153","title":"Geographical Variation in Opioid Prescribing and Opioid-Related Mortality in Ontario","year":2011,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Public health; Medical prescription; Opioid; Opioid overdose; Population; Opioid epidemic; Environmental health; Nursing; (+)-Naloxone; 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":[0.0003462333,0.0001470071,0.0002780379,0.0008634795,0.001969501,0.0008889625,0.0007022858,0.0002646448,0.00293687],"category_scores_gemma":[0.002403147,0.0002916491,0.0004517251,0.002993785,0.0006100792,0.000330002,0.0008007914,0.0002747123,0.0002298488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01612926,"about_ca_system_score_gemma":0.01159455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9776886,"about_ca_topic_score_gemma":0.9910057,"domain_scores_codex":[0.9995228,0.00005630927,0.00004668737,0.00007018798,0.0001777231,0.0001261888],"domain_scores_gemma":[0.9980501,0.0002192246,0.0007204947,0.00008408928,0.0005552227,0.0003708237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009631515,0.00002386827,0.9906918,0.00003995144,0.00004790379,0.0002066571,0.003407358,0.0001080475,0.0003504344,0.0001636986,0.0008229034,0.004041022],"study_design_scores_gemma":[0.000003488822,0.000009808486,0.9975465,0.000009845916,0.000009487065,0.00004510376,0.001468818,0.0001046118,0.00002805469,0.00002291343,0.0007458316,0.000005419261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950748,0.0003321223,0.00007751186,0.0004257619,0.000006049017,0.00002311804,0.00141704,0.000006304997,0.002637356],"genre_scores_gemma":[0.9979092,0.000323103,0.00009765333,0.00005298571,0.000004627624,0.00001185333,0.0004612113,0.000004907909,0.001134356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02231145,"threshold_uncertainty_score":0.1170265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457826547165002,"score_gpt":0.2847172657419772,"score_spread":0.2501390002703272,"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."}}