{"id":"W2405525908","doi":"10.1097/mlr.0000000000000431","title":"Geographic Variations in Prescription Opioid Dispensations and Deaths Among Women and Men in British Columbia, Canada","year":2015,"lang":"en","type":"article","venue":"Medical Care","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medical prescription; Medicine; Opioid; Population; Limiting; Demography; Internal medicine; Environmental health; Pharmacology","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":[0.0004469224,0.0002948323,0.0003322683,0.001896855,0.002085444,0.000986941,0.001181226,0.0003342209,0.002674922],"category_scores_gemma":[0.001860881,0.0002650316,0.0004269353,0.004209743,0.0007164054,0.000245267,0.0007658355,0.0004398148,0.000291043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01779157,"about_ca_system_score_gemma":0.01625022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950293,"about_ca_topic_score_gemma":0.9978026,"domain_scores_codex":[0.9992279,0.00006557741,0.00006562395,0.000153617,0.0002512708,0.0002360331],"domain_scores_gemma":[0.9983485,0.0001091301,0.0003271133,0.00004331351,0.0007842334,0.0003875778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003129564,0.00001044729,0.9930912,0.00004717386,0.0000541011,0.00008028165,0.0004227802,0.0001333445,0.00009994358,0.00007468977,0.001889054,0.004065607],"study_design_scores_gemma":[0.000002954036,0.000004303306,0.9979725,0.00004156107,0.00001602279,0.00004632371,0.0008437382,0.0001535363,0.00002510919,0.00001641666,0.0008715114,0.000005910611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803029,0.003176586,0.0002301207,0.0009112273,0.00003361641,0.0000570962,0.0098189,0.00003531544,0.005434114],"genre_scores_gemma":[0.9951009,0.0009884775,0.0001942235,0.0001456415,0.000007519689,0.00001739175,0.002087312,0.000008551598,0.001450122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01779157,"threshold_uncertainty_score":0.1290874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006242423439074249,"score_gpt":0.2188742358969209,"score_spread":0.2126318124578467,"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."}}