{"id":"W3120734665","doi":"10.1111/add.15396","title":"Sex differences in factors predicting post‐treatment opioid use","year":2021,"lang":"en","type":"article","venue":"Addiction","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute on Alcohol Abuse and Alcoholism","keywords":"Opioid use disorder; Hazard ratio; Medicine; Proportional hazards model; Demography; Opioid; Young adult; Ethnic group; Logistic regression; Psychiatry; Psychology; Internal medicine; Confidence interval","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":[0.00002862861,0.0001694042,0.0002547054,0.000107789,0.00006502366,0.00003199199,0.00002414098,0.00008436585,0.0002401927],"category_scores_gemma":[0.00009614589,0.0001340955,0.0000825926,0.0002006532,0.00001831564,0.0001468892,0.00002107674,0.00009729802,0.00002772575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003320687,"about_ca_system_score_gemma":0.0001545683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370727,"about_ca_topic_score_gemma":0.000402706,"domain_scores_codex":[0.9990209,0.00004870049,0.0002147962,0.0003086688,0.0001924731,0.0002144937],"domain_scores_gemma":[0.9994515,0.00009940538,0.00004847492,0.0002399982,0.00006859334,0.00009206661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003550659,0.000634698,0.9871458,0.00001321106,0.0001318752,0.00008925973,0.002678377,0.000003946901,0.00172329,0.00001790972,0.0000417794,0.007484344],"study_design_scores_gemma":[0.001401253,0.0005077766,0.9813133,0.0001056822,0.0001418155,0.00002285641,0.002422168,0.000245621,0.0124878,0.0000145819,0.00123886,0.00009823518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997891,0.0005212002,0.0000199986,0.0002642588,0.000285209,0.0002954655,0.00004691716,0.0001147918,0.0005611218],"genre_scores_gemma":[0.9970694,0.0004771422,0.0002044675,0.00007951155,0.00007029763,0.00004927135,0.000519583,0.00001909646,0.001511192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076451,"threshold_uncertainty_score":0.5468256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593411343403645,"score_gpt":0.2641183339755681,"score_spread":0.2381842205415316,"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."}}