{"id":"W2121605499","doi":"10.1111/add.12863","title":"Mortality among individuals accessing pharmacological treatment for opioid dependence in California, 2006–10","year":2015,"lang":"en","type":"article","venue":"Addiction","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; AIDS Vancouver","funders":"National Institute on Drug Abuse","keywords":"Medicine; Interquartile range; Hazard ratio; Standardized mortality ratio; Confidence interval; Population; Mortality rate; Opioid; Cohort; Cohort study; Demography; Internal medicine; Proportional hazards model; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002452599,0.0001827092,0.0002778553,0.0001124028,0.00006510322,0.00002848864,0.00005952918,0.0001273851,0.0002344639],"category_scores_gemma":[0.00008930359,0.0001441858,0.00008575313,0.0001758546,0.00004625276,0.0001738645,0.00002534643,0.0000913703,0.00007374539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006351435,"about_ca_system_score_gemma":0.000200222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007935233,"about_ca_topic_score_gemma":0.0001995449,"domain_scores_codex":[0.9987394,0.00005727823,0.0003010044,0.0003396302,0.0002722128,0.0002904461],"domain_scores_gemma":[0.9993858,0.00005956561,0.00009787202,0.0001685623,0.00008644444,0.0002017817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002539119,0.001265603,0.9703727,0.00002003266,0.0002214034,0.00004076108,0.000633275,0.0001362393,0.000277168,0.000009687619,0.00313141,0.02363777],"study_design_scores_gemma":[0.009801153,0.001366776,0.9592404,0.0000917508,0.0008405658,0.00001537985,0.0004750275,0.002530509,0.008012372,0.0003029478,0.01708692,0.0002362275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958886,0.0006094017,0.0004064296,0.000217186,0.0002306502,0.00126529,0.0002090726,0.0001020562,0.001071348],"genre_scores_gemma":[0.9970628,0.00009828778,0.0008858515,0.0001293436,0.0001559164,0.0006582711,0.0005172149,0.00001880714,0.0004735273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02340154,"threshold_uncertainty_score":0.5879725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07440142594197757,"score_gpt":0.3716089499003851,"score_spread":0.2972075239584075,"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."}}