{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006081982,0.0001112499,0.0001387323,0.0003324458,0.0002367063,0.0003783345,0.0001556724,0.0001917995,0.00305674],"category_scores_gemma":[0.002719777,0.00008674961,0.0002821842,0.00034482,0.0001634058,0.0001832072,0.0002549034,0.0003100076,0.0001704573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135744,"about_ca_system_score_gemma":0.0002409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398791,"about_ca_topic_score_gemma":0.003716571,"domain_scores_codex":[0.999774,0.0000630932,0.00002976775,0.00003596657,0.00005008563,0.00004701754],"domain_scores_gemma":[0.9985844,0.0004521233,0.000661137,0.00005436876,0.00008866873,0.0001593171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005270933,0.00001379422,0.9983026,0.000005356178,0.00001337187,0.00002029118,0.00005745357,0.000009758191,0.00004230256,0.00001164398,0.00004869366,0.001422026],"study_design_scores_gemma":[0.000002584465,0.00005684511,0.9993733,0.000008328946,0.000009758665,0.000123114,0.0001943034,0.00006293213,0.00003060311,0.00002124515,0.0001159349,0.000001127259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987702,0.0004028085,0.00006032848,0.00007682926,0.000007484719,0.000007178105,0.0002182734,0.00000182406,0.0004550774],"genre_scores_gemma":[0.999567,0.00009771487,0.00004121452,0.00001892186,0.000004776827,0.000004445466,0.0001340349,9.045208e-7,0.0001309201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00305674,"threshold_uncertainty_score":0.01022577,"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."}}