{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004380525,0.00020192,0.0002373871,0.000733884,0.0002729277,0.0004614695,0.0001750508,0.0003872756,0.001922636],"category_scores_gemma":[0.001306588,0.0001656157,0.0002322438,0.0007858351,0.0001606696,0.0003074246,0.0002247258,0.000492555,0.000185795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001596449,"about_ca_system_score_gemma":0.0001760864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009453848,"about_ca_topic_score_gemma":0.001287875,"domain_scores_codex":[0.9996868,0.00007714643,0.00004464203,0.00005788899,0.00008566215,0.00004780784],"domain_scores_gemma":[0.9993618,0.0001087231,0.0002823275,0.00002468649,0.00007894766,0.0001434426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003707045,0.00002270499,0.9989198,0.000007339245,0.00001926343,0.00004012811,0.00002255543,0.000007599796,0.00007678304,0.000008278037,0.00005095165,0.0007875161],"study_design_scores_gemma":[0.000003938844,0.0000573778,0.9993563,0.000005463149,0.00001954778,0.0003149807,0.00006806274,0.00004607657,0.00002092243,0.00001811181,0.00008758502,0.000001666605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980747,0.0007157397,0.00007679853,0.00009945124,0.00001424223,0.00001001862,0.000295975,0.000003081427,0.0007099679],"genre_scores_gemma":[0.9993023,0.0002001667,0.00008082059,0.00003989859,0.00002099154,0.00001179247,0.0002637316,6.698185e-7,0.00007975478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001922636,"threshold_uncertainty_score":0.006431878,"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."}}