{"id":"W2552793009","doi":"10.1111/cob.12165","title":"Association between ratio indexes of body composition phenotypes and metabolic risk in Italian adults","year":2016,"lang":"en","type":"article","venue":"Clinical Obesity","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Università degli Studi di Milano","keywords":"Medicine; Bioelectrical impedance analysis; Logistic regression; Body mass index; Mass index; Internal medicine; Fat mass; Metabolic syndrome; Multivariate analysis; Obesity","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":[0.00149389,0.0006318325,0.0005262561,0.00128756,0.0002115259,0.0006091583,0.0003861822,0.0007470104,0.001502621],"category_scores_gemma":[0.003745926,0.0003404109,0.0007115008,0.001166926,0.0003144164,0.0002135135,0.0004847222,0.0005121534,0.0004449392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003308525,"about_ca_system_score_gemma":0.0001752235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00642573,"about_ca_topic_score_gemma":0.003927968,"domain_scores_codex":[0.9993029,0.000318842,0.00005393826,0.0001613534,0.00007919894,0.00008371715],"domain_scores_gemma":[0.9984498,0.0003780939,0.0006790332,0.000270352,0.0001103616,0.0001124155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003781437,0.00002694295,0.9975776,0.00001601546,0.0001281846,0.00006893614,0.00004664248,0.00003858262,0.0001995591,0.00001897261,0.0001213895,0.001379008],"study_design_scores_gemma":[0.000006310297,0.00003991952,0.9996299,0.000002412371,0.00003022098,0.0001014368,0.00001073038,0.0001023346,0.00001031926,0.000009879709,0.00005516048,0.000001471577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973948,0.0009820695,0.0001272161,0.00009957486,0.00001067304,0.00001208722,0.0003623436,0.00001320257,0.0009980692],"genre_scores_gemma":[0.9984233,0.0003949034,0.0001887246,0.00004169886,0.00004010939,0.00002188435,0.000657799,0.000008000562,0.0002236994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00642573,"threshold_uncertainty_score":0.01277667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831212428569255,"score_gpt":0.3735543144583348,"score_spread":0.3352421901726422,"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."}}