{"id":"W4288068826","doi":"10.1177/07067437221114094","title":"Individualized Prospective Prediction of Opioid Use Disorder","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Government of Alberta; University of Alberta; Ministry of Health","funders":"University Hospital Foundation; Alberta Innovates; Mental Health Foundation; Mitacs; Canada Research Chairs; Brain and Behavior Research Foundation","keywords":"Opioid use disorder; Prospective cohort study; Medicine; Machine learning; Opioid; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005824056,0.0000923103,0.0002258419,0.0002227394,0.000267118,0.00001670874,0.0002104987,0.00003721197,0.0003162936],"category_scores_gemma":[0.0001401957,0.00006775733,0.000130578,0.000354703,0.0001057369,0.0001198041,0.00001875606,0.0005617425,0.00000181396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627347,"about_ca_system_score_gemma":0.002746725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004444684,"about_ca_topic_score_gemma":0.06096124,"domain_scores_codex":[0.9988344,0.0001427725,0.0003472657,0.00008734763,0.0003969677,0.0001912421],"domain_scores_gemma":[0.9990065,0.00005258654,0.0003307032,0.0002241633,0.000131274,0.0002548037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003003457,0.00006849367,0.9816915,0.00003492359,0.000220734,0.00003282741,0.001945403,0.00009702137,0.0001607464,0.00347252,0.01144081,0.0005346417],"study_design_scores_gemma":[0.002824031,0.0012525,0.9765397,0.0001225491,0.0002236251,0.0008025494,0.000931133,0.00002258499,0.0001596644,0.006567546,0.0104699,0.00008422159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890994,0.00312969,0.00005853113,0.004086528,0.002507978,0.0004055437,0.0001741529,0.000007574139,0.0005306061],"genre_scores_gemma":[0.9979547,0.0000093853,0.001207292,0.0003482474,0.0002839593,0.00001038453,0.000009000327,0.00001866585,0.0001583642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05651656,"threshold_uncertainty_score":0.9561738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061577316634591,"score_gpt":0.2326905376355163,"score_spread":0.2220747644691704,"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."}}