{"id":"W2165435051","doi":"10.1111/j.1399-5618.2009.00730.x","title":"Can body mass index help predict outcome in patients with bipolar disorder?","year":2009,"lang":"en","type":"article","venue":"Bipolar Disorders","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capital District Health Authority; Concordia University; Dalhousie University","funders":"Canadian Institutes of Health Research; Neurosciences Foundation; Neurosciences Research Foundation","keywords":"Bipolar disorder; Body mass index; Index (typography); Medicine; Outcome (game theory); Psychology; Internal medicine; Psychiatry; Mood; Computer science; Mathematics; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007059695,0.0005674152,0.0005717269,0.0008251254,0.0003632575,0.0006673463,0.0003876354,0.0008261462,0.00243518],"category_scores_gemma":[0.004566744,0.0001949309,0.0005559021,0.0008282311,0.0002718025,0.0005510821,0.0003428706,0.0009859049,0.0007259114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433827,"about_ca_system_score_gemma":0.0002816101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002255483,"about_ca_topic_score_gemma":0.004552765,"domain_scores_codex":[0.9997659,0.00008212015,0.00003859969,0.00003608181,0.00004620752,0.00003102001],"domain_scores_gemma":[0.9987546,0.0003058203,0.0005383569,0.00004377932,0.0001095,0.0002478406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001472306,0.00004562429,0.9968932,0.00001423599,0.00003901495,0.00003497745,0.00001745454,0.00004819988,0.00003505292,0.000009904721,0.0002123092,0.00250276],"study_design_scores_gemma":[0.00002989487,0.0001610947,0.9981833,0.00004433451,0.00007824972,0.0001558983,0.000104814,0.0008756474,0.00004022634,0.000108071,0.0002122958,0.000006089577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928254,0.002527696,0.000197241,0.00130069,0.0001320584,0.0000231568,0.0008996534,0.00002038683,0.002073647],"genre_scores_gemma":[0.9978043,0.0006969314,0.0002523942,0.0001269676,0.0001185574,0.00001478768,0.000773398,0.000003277667,0.0002093332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00243518,"threshold_uncertainty_score":0.008146465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005895683475613203,"score_gpt":0.2269686947513068,"score_spread":0.2210730112756936,"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."}}