{"id":"W2762976600","doi":"10.1016/j.clnu.2017.09.021","title":"Fat mass to fat-free mass ratio reference values from NHANES III using bioelectrical impedance analysis","year":2017,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bioelectrical impedance analysis; Medicine; Overweight; National Health and Nutrition Examination Survey; Underweight; Body mass index; Percentile; Fat free mass; Population; Obesity; Demography; Fat mass; Internal medicine; Environmental health; Statistics; Mathematics","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":[0.0007006151,0.0002411759,0.0008102233,0.0002711485,0.0003844681,0.0001846197,0.0005799349,0.0003605241,0.0001196332],"category_scores_gemma":[0.001574674,0.0002298949,0.0003883272,0.0003931276,0.0002015471,0.0002775663,0.0001235115,0.0004771066,0.00004745732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786536,"about_ca_system_score_gemma":0.00004667913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001921255,"about_ca_topic_score_gemma":0.00003289196,"domain_scores_codex":[0.9971241,0.0002421294,0.0009345881,0.0007190899,0.0006520645,0.0003279672],"domain_scores_gemma":[0.996784,0.0003115957,0.0003967756,0.001684256,0.0004985653,0.0003247804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001598111,0.00109797,0.05942191,0.00008600084,0.000745209,0.00007229892,0.00003437982,0.000009357381,0.9151652,0.0004314673,0.01554185,0.005796188],"study_design_scores_gemma":[0.01772758,0.004537317,0.2446946,0.002585266,0.00873832,0.00001665054,0.0001329833,0.04723946,0.5880723,0.08006059,0.004286472,0.001908471],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7074645,0.0002703633,0.2843222,0.005689804,0.0002914566,0.0009718512,0.00007857214,0.0003593799,0.0005519173],"genre_scores_gemma":[0.8894636,0.0002979357,0.1080934,0.0007109953,0.001117924,0.00005681609,0.0001615335,0.00002337322,0.00007447608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.327093,"threshold_uncertainty_score":0.9374841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.163785722181105,"score_gpt":0.4357098480908763,"score_spread":0.2719241259097713,"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."}}