{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001123264,0.00006162619,0.0003886186,0.00006148819,0.000039361,0.000004042717,0.00002953835,0.0001451289,0.00003740907],"category_scores_gemma":[0.0006990738,0.00004518651,0.00005565918,0.00008563155,0.00005567988,0.00007267638,0.00002045629,0.0001818749,0.00001817795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004402217,"about_ca_system_score_gemma":0.00003353859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008837131,"about_ca_topic_score_gemma":0.00005118203,"domain_scores_codex":[0.9987845,0.000225887,0.0005580015,0.0001623175,0.0001473488,0.0001218926],"domain_scores_gemma":[0.9986823,0.0007312467,0.0002692141,0.0001059142,0.00009620917,0.0001151027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001382036,0.0002258621,0.9890885,0.00006321719,0.00003111732,9.481376e-7,0.00005230301,1.886346e-8,0.0002214021,0.0002223075,0.0001850855,0.009771039],"study_design_scores_gemma":[0.003362042,0.0001589287,0.9931442,0.0003070149,0.00009297415,3.795557e-7,0.000009331648,0.00001538826,0.001152324,0.001092451,0.0006152207,0.0000497901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99621,0.0001759504,0.0001987739,0.002912338,0.00009203371,0.0002208708,0.00003729294,0.00002091405,0.0001317976],"genre_scores_gemma":[0.9980028,0.0008716365,0.0005006507,0.0002691975,0.0002470862,0.000003427107,0.00001450138,0.000005045956,0.00008569659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009721248,"threshold_uncertainty_score":0.1842652,"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."}}