{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002878658,0.0001982397,0.0003822522,0.0003055269,0.00004355103,0.00001374806,0.00005629269,0.0002270114,0.0001022521],"category_scores_gemma":[0.00001330564,0.0001929371,0.00005440558,0.0002846438,0.00004370902,0.0001425891,0.000012323,0.000497169,0.00001206574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003440553,"about_ca_system_score_gemma":0.0004589439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.628107,"about_ca_topic_score_gemma":0.5954934,"domain_scores_codex":[0.9981943,0.0001317268,0.0005819575,0.0004645277,0.0002234854,0.0004039663],"domain_scores_gemma":[0.999283,0.00002935777,0.00008636501,0.0003432595,0.00005441945,0.0002035548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001191524,0.0004504148,0.9263923,0.0001605096,0.00002948808,0.00009250028,0.06573388,1.646121e-7,0.00003489796,0.001536488,0.000004024842,0.005446222],"study_design_scores_gemma":[0.002248263,0.00129678,0.9893584,0.0002588842,0.00003688786,0.00001975328,0.001264632,0.0001033062,0.000008981283,0.005220286,0.00003788055,0.0001459277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969366,0.0005554207,0.0000105862,0.0006474697,0.0001810341,0.001010119,0.000005752654,0.00006127646,0.0005917681],"genre_scores_gemma":[0.9989491,0.00005069232,0.0005437523,0.0002208338,0.00001294073,0.0001033141,0.00005458977,0.00002081832,0.00004398916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06446925,"threshold_uncertainty_score":0.7867747,"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."}}