{"id":"W3011545656","doi":"10.1017/s1368980019004191","title":"A new anthropometric index to predict percent body fat in young adults","year":2020,"lang":"en","type":"article","venue":"Public Health Nutrition","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Queen's University","funders":"Samsung; Yonsei University","keywords":"Anthropometry; Waist; Body mass index; Medicine; Body Shape Index; Body fat percentage; Body adiposity index; Circumference; Receiver operating characteristic; Demography; Classification of obesity; Mathematics; Internal medicine; Fat mass","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":[0.0009637314,0.0009139747,0.0005768192,0.001457783,0.0001718982,0.0004582572,0.000351131,0.0005554979,0.001014363],"category_scores_gemma":[0.003118653,0.0002171055,0.0004218396,0.0006879161,0.0001733487,0.0006989424,0.0003440911,0.0007275871,0.0005971378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002204283,"about_ca_system_score_gemma":0.0002979792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001378361,"about_ca_topic_score_gemma":0.002368794,"domain_scores_codex":[0.9996485,0.00007841437,0.00005669432,0.00007141964,0.0001223826,0.00002262537],"domain_scores_gemma":[0.9989482,0.0002266804,0.0003621162,0.00003727275,0.0003181885,0.0001076009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002614353,0.0001435542,0.9766741,0.00006478807,0.00009661767,0.00008039978,0.00004265312,0.0005683547,0.001682622,0.0000491843,0.0005241114,0.01981221],"study_design_scores_gemma":[0.00007071799,0.0009633609,0.9842259,0.00006622409,0.0001249218,0.0007523968,0.0001259463,0.01117213,0.000989221,0.0001464287,0.00133878,0.0000239834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697501,0.002578845,0.02060057,0.00040295,0.0002532144,0.0003066774,0.002345643,0.0002424073,0.003519682],"genre_scores_gemma":[0.9717731,0.000744919,0.02372703,0.0001739199,0.0001393427,0.0002889936,0.001850361,0.00001793124,0.001284321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457783,"threshold_uncertainty_score":0.005096793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05210760361990385,"score_gpt":0.3304839945799392,"score_spread":0.2783763909600354,"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."}}