{"id":"W2769172430","doi":"10.1177/1557988317742230","title":"Predicting the Risk of Opioid Use Disorder Based on Early Maladaptive Schemas","year":2017,"lang":"en","type":"article","venue":"American Journal of Men s Health","topic":"Perfectionism, Procrastination, Anxiety Studies","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Psychology; Grandiosity; Clinical psychology; Distress; Schema (genetic algorithms); Opioid use disorder; Opioid; Multivariate analysis of variance; Logistic regression; Psychiatry; Medicine; Developmental psychology; Social psychology; Internal medicine","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":[0.001455294,0.0001345507,0.0003882337,0.00009866231,0.0009516688,0.00003796112,0.0003086291,0.00002638218,0.00002969691],"category_scores_gemma":[0.0006758928,0.00009146883,0.0001247574,0.0001183247,0.0005229398,0.0001684186,0.00003499889,0.0004624499,0.000006672891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009840485,"about_ca_system_score_gemma":0.0002324561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006808784,"about_ca_topic_score_gemma":0.0001608351,"domain_scores_codex":[0.9981918,0.000503703,0.0005060882,0.0001636918,0.0003624565,0.0002722314],"domain_scores_gemma":[0.9955109,0.0005944848,0.003052289,0.0004302384,0.0003062832,0.0001057808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003715586,0.0001765211,0.9540449,0.0000114435,0.0002218759,0.000002324243,0.007893393,0.0001321252,0.000006651864,0.0002037065,0.001127514,0.03580792],"study_design_scores_gemma":[0.0008272915,0.00296229,0.9870361,0.0001022899,0.00004704439,0.00001821504,0.006559969,0.0003006441,0.00001450469,0.00004808074,0.002009774,0.00007381439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885494,0.0002598607,0.003733052,0.004954629,0.0003920721,0.0002089028,0.00002468694,0.00001223622,0.001865196],"genre_scores_gemma":[0.9972336,0.0004027151,0.001522503,0.0003736732,0.0002156708,0.000008904432,4.717611e-7,0.00001939405,0.0002230806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03573411,"threshold_uncertainty_score":0.999805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515642416840781,"score_gpt":0.3362623066033499,"score_spread":0.3111058824349421,"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."}}