{"id":"W2811123653","doi":"10.1097/adm.0000000000000431","title":"Predictors of Leaving an Inpatient Medical Withdrawal Service Against Medical Advice: A Retrospective Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Addiction Medicine","topic":"Healthcare Decision-Making and Restraints","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Medicine; Against medical advice; Advice (programming); Family medicine; Service (business); Retrospective cohort study; Medical advice; Medical emergency; Psychiatry; Pediatrics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004396725,0.0002210751,0.0009209171,0.001140391,0.0001511747,0.000008026663,0.0005347066,0.0005102934,0.0089912],"category_scores_gemma":[0.003194752,0.0001498926,0.0001986776,0.002077124,0.0005584555,0.0001609931,0.00005272846,0.001129751,0.00002542163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00019213,"about_ca_system_score_gemma":0.0006057087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003910165,"about_ca_topic_score_gemma":0.0005659698,"domain_scores_codex":[0.9932813,0.0006235815,0.001893442,0.0003443414,0.00349125,0.0003660852],"domain_scores_gemma":[0.9946828,0.0004164375,0.001361855,0.0004436312,0.0019727,0.001122519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003945566,0.003543148,0.5486025,0.0001450871,0.01409569,0.008335216,0.0769179,0.0001473128,0.0004663351,0.0003950175,0.0463949,0.2970113],"study_design_scores_gemma":[0.005102869,0.009246667,0.9573299,0.001976383,0.001394276,0.002094532,0.009832162,0.00420503,0.00003233117,0.000136644,0.008394648,0.0002545193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841634,0.0002415711,0.002316205,0.005080031,0.004340298,0.0001190887,0.00001518449,0.00004966983,0.003674557],"genre_scores_gemma":[0.9927692,0.0001433704,0.0001974502,0.001889891,0.004886394,0.000002832125,0.00002023537,0.00002464236,0.00006592272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4087274,"threshold_uncertainty_score":0.9919147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699520269263802,"score_gpt":0.3719180371241728,"score_spread":0.3549228344315347,"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."}}