{"id":"W155371748","doi":"10.1038/sj.ijo.0802006","title":"The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study","year":2002,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":702,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"NIH Clinical Center; National Center for Research Resources; School of Medicine, Indiana University; University of Minnesota; National Heart, Lung, and Blood Institute; University of Washington","keywords":"Body mass index; Demography; Medicine; Body fat percentage; Analysis of variance; Linear regression; Hydrostatic weighing; Regression analysis; Obesity; Race (biology); Internal medicine; Body weight; Statistics; Mathematics; Biology","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":[0.001032588,0.0001401694,0.0002790207,0.00008322938,0.0001329901,0.00008276806,0.000362888,0.00004304487,0.00004145221],"category_scores_gemma":[0.0002131925,0.00007820614,0.000113753,0.00004825714,0.0000946545,0.0001184222,0.00007106109,0.0004424305,0.000003581614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001300613,"about_ca_system_score_gemma":0.00001032124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004890664,"about_ca_topic_score_gemma":0.0000051462,"domain_scores_codex":[0.9979416,0.000302707,0.0004455752,0.0001262124,0.001075673,0.0001082671],"domain_scores_gemma":[0.998606,0.0005508632,0.0003757914,0.000196053,0.0002090034,0.00006228153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006706371,0.0006052362,0.8768641,0.00001528176,0.0006404545,0.0006113187,0.0007405765,0.00002566046,0.1140369,0.00002821761,0.001366274,0.00439538],"study_design_scores_gemma":[0.002833268,0.002237861,0.9738486,0.0003802225,0.0001674634,0.00009820696,0.0005876197,0.003479094,0.01583332,0.0001618826,0.0002722689,0.0001001852],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960439,0.0002078203,0.001630149,0.0007332299,0.000373242,0.000386688,0.000007906402,0.00002105625,0.0005960022],"genre_scores_gemma":[0.9985127,0.00004834464,0.0008283877,0.0001614618,0.0003455336,0.000004457875,0.000001789774,0.00001253685,0.00008471458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09820358,"threshold_uncertainty_score":0.3189154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815875954389111,"score_gpt":0.2964887121200782,"score_spread":0.278329952576187,"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."}}