{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007498211,0.001363728,0.0007934508,0.003057498,0.000311504,0.001509369,0.0005076157,0.000297588,0.002092872],"category_scores_gemma":[0.0198828,0.0002690037,0.002101557,0.002845673,0.0006659888,0.0006344897,0.0008920616,0.0008956404,0.0002852652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005457604,"about_ca_system_score_gemma":0.00116413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003907232,"about_ca_topic_score_gemma":0.002087545,"domain_scores_codex":[0.9941716,0.003470816,0.000413073,0.0008551861,0.0008969161,0.0001924447],"domain_scores_gemma":[0.9935522,0.003827618,0.0008177317,0.0005739068,0.001042277,0.0001862164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001025399,0.0001873678,0.8188042,0.0004231361,0.00314465,0.0003080856,0.002116758,0.009791824,0.006701376,0.003142162,0.00211474,0.1522404],"study_design_scores_gemma":[0.0001559551,0.001226866,0.9233592,0.000193312,0.0005437559,0.0004094129,0.001016944,0.0619997,0.00262416,0.00564672,0.002675707,0.000148315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8120463,0.0009075334,0.1800499,0.000328017,0.0001422071,0.00115349,0.002582713,0.000540684,0.002249163],"genre_scores_gemma":[0.9330269,0.0002929144,0.06385696,0.00003291825,0.00005126509,0.0005744651,0.001746603,0.00004482923,0.0003731368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007498211,"threshold_uncertainty_score":0.03965479,"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."}}