{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005029734,0.0001712945,0.0003782467,0.0009348193,0.000081916,0.00005382602,0.0001285402,0.0001165409,0.0002131007],"category_scores_gemma":[0.0003917259,0.0001816716,0.00006406203,0.002542258,0.00002042222,0.0002560967,0.00004943326,0.0003626325,0.00005498932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009163889,"about_ca_system_score_gemma":0.0004499369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009901612,"about_ca_topic_score_gemma":0.00009638378,"domain_scores_codex":[0.9975541,0.0001440073,0.0005771792,0.0004408094,0.0007441251,0.0005397305],"domain_scores_gemma":[0.9981006,0.00002381351,0.0001022468,0.0002295511,0.0002148068,0.001328956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001908428,0.005718876,0.3915355,0.004896207,0.00006341146,0.00007810845,0.00597917,0.000002024126,0.007015333,0.0007814391,0.408772,0.1732496],"study_design_scores_gemma":[0.01512872,0.009349577,0.8162366,0.002917043,0.0000231636,0.0001065793,0.001283843,0.003200984,0.001777277,0.0001365917,0.1492263,0.0006132532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2393398,0.001480865,0.1193862,0.6299834,0.0003388308,0.006547113,0.0000425919,0.001334866,0.001546383],"genre_scores_gemma":[0.9813076,0.0005987646,0.006710633,0.010353,0.0006493163,0.0001857103,0.0001512425,0.00002984523,0.0000138718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7419679,"threshold_uncertainty_score":0.7408354,"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."}}