{"id":"W2563430500","doi":"10.14740/cr507w","title":"The Prevalence of Metabolic Syndrome in Coronary Artery Disease Patients","year":2016,"lang":"en","type":"article","venue":"Cardiology Research","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Zahedan University of Medical Sciences","keywords":"Medicine; Metabolic syndrome; Dyslipidemia; Coronary artery disease; Internal medicine; Abdominal obesity; Waist; Cardiology; Diabetes mellitus; National Cholesterol Education Program; Body mass index; Anthropometry; Obesity; Lipid profile; Cholesterol; Endocrinology","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":[0.002388364,0.0001085655,0.000566352,0.000191,0.00008966817,0.000005691602,0.00027969,0.00009460923,0.00003570055],"category_scores_gemma":[0.001456053,0.0000576815,0.0002812909,0.0002627879,0.0009239303,0.00006328891,0.0001717851,0.0002784969,0.0001145649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004288827,"about_ca_system_score_gemma":0.000197013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005487988,"about_ca_topic_score_gemma":0.00000687379,"domain_scores_codex":[0.9972736,0.0009445389,0.0002674039,0.000337155,0.0006147706,0.0005624813],"domain_scores_gemma":[0.9979565,0.0005652058,0.00003300217,0.0009108429,0.0003321551,0.0002023219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003444824,0.00005966433,0.8830739,0.0001670083,0.000308325,0.0003517415,0.00002590688,0.000001047434,0.00006878131,0.0001590199,0.0006918514,0.1147482],"study_design_scores_gemma":[0.001434696,0.000247851,0.9867597,0.0001437672,0.00008053328,0.00006127061,0.0000176201,0.000001760599,0.0000707252,0.0003992268,0.01071671,0.00006615431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774867,0.02000949,0.00001349015,0.000481499,0.0001612275,0.0008165722,0.00004521248,0.00001320973,0.0009725888],"genre_scores_gemma":[0.9933131,0.004342723,0.00000805245,0.00002318782,0.0001052223,0.0002082734,0.000005338994,0.0000166879,0.001977447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146821,"threshold_uncertainty_score":0.340426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561932681625696,"score_gpt":0.3156809596167781,"score_spread":0.2800616328005212,"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."}}