{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001791806,0.0005186929,0.00231114,0.000803482,0.0002177165,0.00004532638,0.0002205406,0.0004095116,0.0004849246],"category_scores_gemma":[0.0003409095,0.0004330013,0.0008314113,0.002444819,0.000358941,0.0003731382,0.0001903479,0.0007046852,0.00009583645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005528367,"about_ca_system_score_gemma":0.00008537047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01533565,"about_ca_topic_score_gemma":0.0004158778,"domain_scores_codex":[0.995764,0.0004215805,0.0009736824,0.0007273579,0.001031122,0.001082238],"domain_scores_gemma":[0.9982168,0.0001158363,0.0002393183,0.0007974196,0.00006702898,0.0005635753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001076378,0.001704732,0.8903201,0.0003242748,0.03416763,0.0008262044,0.004740591,0.0005977664,0.00005682329,0.003054443,0.0001001888,0.06399965],"study_design_scores_gemma":[0.003198909,0.00009282529,0.9655406,0.0001131461,0.01291981,0.001024183,0.0006190449,0.0004128962,0.00001690157,0.0003059142,0.0152421,0.0005136469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469271,0.04635551,0.0003065752,0.0002914046,0.0004382639,0.001062188,0.0000276294,0.0001598822,0.004431456],"genre_scores_gemma":[0.9884907,0.009672068,0.0007155507,0.0001883842,0.00006060064,0.0001320313,0.0002695057,0.00006938068,0.0004017733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07522056,"threshold_uncertainty_score":0.9998122,"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."}}