{"id":"W2120101762","doi":"10.2337/diabetes.51.8.2642","title":"Factor Analysis of Metabolic Syndrome Using Directly Measured Insulin Sensitivity","year":2002,"lang":"en","type":"article","venue":"Diabetes","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; U.S. Public Health Service; Genentech; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Insulin resistance; Metabolic syndrome; Internal medicine; Medicine; Blood pressure; Triglyceride; Endocrinology; Impaired glucose tolerance; Insulin sensitivity; Analysis of variance; Diabetes mellitus; Insulin; Waist; Body mass index; Cholesterol","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005477096,0.00024866,0.001625251,0.0006217604,0.00006525029,0.00002258026,0.00007646778,0.0001354971,0.0003587739],"category_scores_gemma":[0.0004482335,0.0002231041,0.001093994,0.001568614,0.0001150653,0.000123119,0.00004114229,0.0001723983,0.00003814641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003376841,"about_ca_system_score_gemma":0.00002466175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232981,"about_ca_topic_score_gemma":0.000080057,"domain_scores_codex":[0.997955,0.0002411428,0.0003816584,0.0003775079,0.0006205874,0.0004241124],"domain_scores_gemma":[0.9986451,0.0001234134,0.0001513155,0.0006718375,0.000216329,0.0001919792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003049018,0.001014774,0.4238136,0.0003840399,0.04600568,0.0001811007,0.001077231,0.000757952,0.115412,0.00003347943,0.00007639499,0.4112133],"study_design_scores_gemma":[0.0008226406,0.00007415337,0.8769639,0.00008018805,0.009204817,0.000007771426,0.0000289042,0.01674727,0.09450935,0.000008455814,0.001268358,0.0002841743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846798,0.01407079,0.00008803511,0.00003851563,0.0001163316,0.0003010506,0.0001143197,0.00008692114,0.0005042349],"genre_scores_gemma":[0.9988502,0.0001549839,0.0006464636,0.00009577445,0.00008323287,0.00001075408,0.00003097548,0.00003466153,0.00009293433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4531503,"threshold_uncertainty_score":0.9097919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03366448677737451,"score_gpt":0.2441645784649606,"score_spread":0.2105000916875861,"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."}}