{"id":"W2988699868","doi":"10.1111/inm.12670","title":"Gender differences in metabolic syndrome risk factors among patients with serious mental illness","year":2019,"lang":"en","type":"article","venue":"International Journal of Mental Health Nursing","topic":"Schizophrenia research and treatment","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Defence Medical Centre","funders":"Tri-Service General Hospital","keywords":"Metabolic syndrome; Medicine; Mental illness; Body mass index; Anthropometry; Logistic regression; Psychological intervention; Cross-sectional study; Population; Comorbidity; Psychiatry; Mental health; Internal medicine; Obesity; Environmental health","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":[0.0002788268,0.0001255555,0.0002254026,0.0003281979,0.0002003633,0.0002716255,0.00008036855,0.000172856,0.001590294],"category_scores_gemma":[0.001237808,0.0001162268,0.0001914496,0.0003073018,0.0001106964,0.0002549021,0.0001949419,0.0001874811,0.0001102211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211648,"about_ca_system_score_gemma":0.0001421144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993879,"about_ca_topic_score_gemma":0.004361703,"domain_scores_codex":[0.9998604,0.00003700813,0.00001612719,0.00002536117,0.00002464046,0.00003643879],"domain_scores_gemma":[0.9996167,0.00008467446,0.0001881186,0.00001583757,0.00002285884,0.00007169367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000753116,0.00001686081,0.9985154,0.000004731007,0.00001211886,0.00005230206,0.0001232396,0.000005888967,0.0001444985,0.00001563726,0.00003147882,0.001002625],"study_design_scores_gemma":[0.000002564301,0.0000475138,0.9995198,0.000003289871,0.000005698141,0.0001332723,0.0001790281,0.00002879349,0.00001343389,0.00001519845,0.00005031204,0.000001113693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992898,0.0002240982,0.00003235554,0.00003985303,0.000005207761,0.000003397003,0.0000874148,7.230084e-7,0.0003172884],"genre_scores_gemma":[0.9997409,0.00007771255,0.00002080897,0.00002217103,0.000004456266,0.00000228719,0.00005679557,3.570503e-7,0.00007456742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001993879,"threshold_uncertainty_score":0.005320013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770745434312057,"score_gpt":0.3247548332192358,"score_spread":0.3070473788761152,"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."}}