{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001318547,0.0003176223,0.001079273,0.0005356711,0.0001227443,0.00004535463,0.0002352665,0.0002539702,0.00002637446],"category_scores_gemma":[0.0006892432,0.0002372992,0.0003473497,0.0008088117,0.00006636755,0.0001691561,0.00005340406,0.0002760039,0.00000352615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001819474,"about_ca_system_score_gemma":0.00002508265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001501982,"about_ca_topic_score_gemma":0.0009203297,"domain_scores_codex":[0.9976329,0.0003098875,0.0006687652,0.0005209293,0.0003787864,0.0004887232],"domain_scores_gemma":[0.9989098,0.0002462013,0.0001465985,0.0005062891,0.00006690331,0.0001242235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007233109,0.0069169,0.7476817,0.01184096,0.003766802,0.0000573653,0.01988495,0.0002666614,0.001111325,0.02010976,0.0002831847,0.187357],"study_design_scores_gemma":[0.005595874,0.0003700626,0.9850075,0.0009706823,0.001407752,0.00005141282,0.0004104676,0.0004773563,0.00006695285,0.002348806,0.002987376,0.0003057602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854912,0.008139348,0.0008925447,0.001212387,0.0002949733,0.003726372,0.00008459378,0.00003819553,0.0001204377],"genre_scores_gemma":[0.9934436,0.003260912,0.0003859875,0.00031184,0.00003152489,0.002378406,0.00009539637,0.00005140767,0.00004091417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2373257,"threshold_uncertainty_score":0.9676782,"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."}}