{"id":"W2922102068","doi":"10.20945/2359-3997000000100","title":"Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents","year":2019,"lang":"en","type":"article","venue":"Archives of Endocrinology and Metabolism","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Alberta","keywords":"Medicine; Anthropometry; Metabolic syndrome; Internal medicine; Obesity","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009436897,0.0001924502,0.0008193981,0.000478789,0.00004436872,0.000003750727,0.0002174759,0.00004537266,0.0000214129],"category_scores_gemma":[0.0003035039,0.0001386387,0.0002087457,0.0002803011,0.0004703579,0.00009310996,0.0001884258,0.0002245962,0.000008266135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004444201,"about_ca_system_score_gemma":0.0000564923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004004026,"about_ca_topic_score_gemma":0.00002275387,"domain_scores_codex":[0.9986235,0.0001086304,0.0003226034,0.0003320807,0.0002404965,0.0003726928],"domain_scores_gemma":[0.9988164,0.0005155494,0.0002111946,0.0003047723,0.00007490209,0.00007720154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005636006,0.005959927,0.9519266,0.0005052368,0.001053003,0.00003345957,0.0005690144,0.00002858636,0.01472473,0.01217879,0.000005781322,0.01245125],"study_design_scores_gemma":[0.004305238,0.0004527313,0.9049911,0.0001614843,0.0004230109,0.00004739031,0.000137332,0.00006119644,0.0834204,0.005782628,0.0001135806,0.0001038848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921472,0.005485855,0.00006610533,0.0002435255,0.0003528826,0.0011471,0.00003505732,0.000006935699,0.0005153157],"genre_scores_gemma":[0.9956212,0.003797909,0.0002253338,0.00008347644,0.00006105385,0.0001077208,0.000004428924,0.00001665376,0.00008221863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06869567,"threshold_uncertainty_score":0.5653521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02346802959456787,"score_gpt":0.2903894805787502,"score_spread":0.2669214509841824,"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."}}