{"id":"W2082313019","doi":"10.1089/met.2012.0094","title":"Validating Metabolic Syndrome Through Principal Component Analysis in a Medically Diverse, Realistic Cohort","year":2012,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke","funders":"NIH Clinical Center; Université de Sherbrooke; Canadian Diabetes Association","keywords":"Metabolic syndrome; Medicine; Cohort; Diabetes mellitus; Population; Cohort study; Principal component analysis; Internal medicine; Obesity; Statistics; Endocrinology; Environmental health; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01798314,0.0004896933,0.0004014444,0.001145115,0.001136091,0.000830861,0.0008229123,0.0006197565,0.001028839],"category_scores_gemma":[0.02964552,0.0002163309,0.0005858506,0.0009834695,0.000644694,0.0004630343,0.001320222,0.0007820868,0.0002451829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009028917,"about_ca_system_score_gemma":0.001557376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01597896,"about_ca_topic_score_gemma":0.01760399,"domain_scores_codex":[0.9918864,0.005605018,0.0004406697,0.0008722328,0.0009556062,0.0002400338],"domain_scores_gemma":[0.9879716,0.005432644,0.001908831,0.002383157,0.001606758,0.0006969917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002298911,0.0001957597,0.9923912,0.00001900021,0.0001080892,0.0001143338,0.0003972162,0.001131489,0.0005085939,0.0001920066,0.0004504422,0.004261963],"study_design_scores_gemma":[0.00008429527,0.0005211902,0.9830262,0.00002852764,0.00007200014,0.0003324953,0.0007966187,0.01311203,0.0003316274,0.0006532559,0.001020029,0.00002166162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918682,0.00007332131,0.006493793,0.0002053809,0.0000165705,0.0002451773,0.0006339778,0.0000153266,0.0004483491],"genre_scores_gemma":[0.9903445,0.00004801609,0.007909445,0.0001264392,0.00001882817,0.0002338167,0.001247652,0.000006560934,0.00006484897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01798314,"threshold_uncertainty_score":0.09510505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176558080941299,"score_gpt":0.2510067224512507,"score_spread":0.2392411416418377,"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."}}