{"id":"W2316640110","doi":"10.1089/met.2013.0127","title":"Variations in the Prevalence of Metabolic Syndrome in Adolescents According to Different Criteria Used for Diagnosis: Which Definition Should Be Chosen for This Age Group?","year":2014,"lang":"en","type":"article","venue":"Metabolic Syndrome and Related Disorders","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Medicine; Metabolic syndrome; Pediatrics; Demography; Gerontology; Obesity; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008561083,0.0003109183,0.000647751,0.001873382,0.0003731629,0.0007806739,0.0007605688,0.0006253974,0.000426726],"category_scores_gemma":[0.01561905,0.0002370894,0.000500473,0.001332223,0.0009119436,0.0008470144,0.0006331785,0.0005430096,0.0001414091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681078,"about_ca_system_score_gemma":0.0004135118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002244932,"about_ca_topic_score_gemma":0.002373003,"domain_scores_codex":[0.9955614,0.002237281,0.0007108658,0.0004809319,0.0007834598,0.0002261719],"domain_scores_gemma":[0.9863635,0.005718702,0.005132804,0.0005313379,0.001821558,0.0004321176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004766194,0.00001049327,0.9958494,0.00004338006,0.00003533558,0.00003946147,0.0002251897,0.00002066552,0.0001777799,0.00003434297,0.00005637096,0.003459873],"study_design_scores_gemma":[0.000008129377,0.00007555142,0.9973056,0.0001505799,0.00006387558,0.0006932145,0.0008274078,0.000211276,0.0002429829,0.0001062544,0.0003057598,0.000009296738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939532,0.00377939,0.001232597,0.0003256713,0.00004506545,0.00002653362,0.0001026991,0.000007907244,0.0005270678],"genre_scores_gemma":[0.9974819,0.0007445039,0.001464181,0.00007697165,0.000026571,0.0000215353,0.0001589029,0.00000464348,0.00002084341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008561083,"threshold_uncertainty_score":0.04527593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258078945072473,"score_gpt":0.2733920115587617,"score_spread":0.2475841170515145,"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."}}