{"id":"W2013873221","doi":"10.5539/gjhs.v5n6p142","title":"Prevalence of Metabolic Syndrome in Type 2 Diabetes Mellitus Using NCEP-ATPIII, IDF and WHO Definition and Its Agreement in Gwalior Chambal Region of Central India","year":2013,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University Grants Commission","keywords":"Medicine; Metabolic syndrome; Concordance; Internal medicine; Anthropometry; Diabetes mellitus; Type 2 Diabetes Mellitus; National Cholesterol Education Program; Cross-sectional study; Type 2 diabetes; Triglyceride; Lipid profile; Cholesterol; Endocrinology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001648754,0.0001093284,0.0006223811,0.0002879104,0.00004521447,0.00001732346,0.0001279732,0.00004731159,0.000006574062],"category_scores_gemma":[0.0001590869,0.00009067383,0.0000581293,0.0008123689,0.0002858768,0.0004341474,0.00005168652,0.000139935,5.73067e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299491,"about_ca_system_score_gemma":0.0005441958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120604,"about_ca_topic_score_gemma":0.00002586195,"domain_scores_codex":[0.9979191,0.00009922001,0.0007065971,0.000192779,0.0006507984,0.0004315375],"domain_scores_gemma":[0.9988477,0.00001775121,0.0005006564,0.0001318874,0.0002602139,0.0002417572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006434017,0.000174349,0.8989697,0.001442441,0.00004015159,0.00004550824,0.0004423,0.00005964275,0.0007771537,0.0004342757,0.000008103591,0.09754208],"study_design_scores_gemma":[0.0009767512,0.0005250565,0.9948444,0.001626168,0.00003954092,0.0004238448,0.0001161521,0.0003028671,0.0007519693,0.000317176,0.000008908624,0.00006712766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332027,0.06604096,0.00001518527,0.0001737577,0.0001381243,0.0003939808,0.000004935549,0.000001646967,0.00002866258],"genre_scores_gemma":[0.9880899,0.01108775,0.0007093015,0.00008372103,0.00002301998,0.000001750227,3.097823e-7,0.0000031748,0.000001092159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09747495,"threshold_uncertainty_score":0.3697571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864687986553352,"score_gpt":0.2857478290630258,"score_spread":0.2571009491974923,"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."}}