{"id":"W2072431590","doi":"10.5539/gjhs.v2n2p117","title":"Metabolic syndrome in Iran","year":2010,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metabolic syndrome; Medicine; Disease; Diabetes mellitus; Population; Coronary artery disease; Obesity; Insulin resistance; Demography; Internal medicine; Environmental health; 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":[0.0003236558,0.0003229287,0.0003310605,0.00124592,0.0006783692,0.0006708202,0.0001988966,0.0003759316,0.004632132],"category_scores_gemma":[0.0008417909,0.00007634242,0.0003591433,0.002054585,0.0002052708,0.0002826715,0.0003806578,0.0009125624,0.0005806203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004337485,"about_ca_system_score_gemma":0.0009680829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007061096,"about_ca_topic_score_gemma":0.005247778,"domain_scores_codex":[0.9996986,0.00006225291,0.00004519516,0.00004984314,0.00009137426,0.00005271252],"domain_scores_gemma":[0.9998159,0.00001916048,0.00006595075,0.000008298155,0.00005640324,0.00003435988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003055274,0.0002766279,0.5381485,0.001551703,0.0002510799,0.005854585,0.001081814,0.0001729275,0.001965058,0.008775447,0.0533905,0.3882263],"study_design_scores_gemma":[0.00008635576,0.0002841296,0.8397176,0.001235477,0.0002396679,0.02577796,0.001639942,0.0003648335,0.0002577391,0.003713394,0.1266352,0.00004755434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5477149,0.2775888,0.002710663,0.021687,0.004941999,0.0004838902,0.006658417,0.0002264055,0.137988],"genre_scores_gemma":[0.9064862,0.07225731,0.002389394,0.004321925,0.001506048,0.0002506923,0.002781089,0.00001721195,0.009990121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007061096,"threshold_uncertainty_score":0.01549608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941575063172333,"score_gpt":0.3188297471795407,"score_spread":0.2994139965478173,"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."}}