{"id":"W1964239772","doi":"10.1139/h08-128","title":"Using simple anthropometric measures to predict body fat in South Asians","year":2009,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Provincial Health Services Authority; University of British Columbia","funders":"","keywords":"Anthropometry; Waist; Circumference; Medicine; Demography; Regression analysis; Body mass index; Fat mass; Statistics; Mathematics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001822669,0.0002050983,0.0004976746,0.0007156602,0.00009976423,0.00001554234,0.00007597505,0.0001588772,0.0000358989],"category_scores_gemma":[0.00003112962,0.0001952289,0.00006244994,0.0007810791,0.00008658798,0.00006236774,0.00002598693,0.0002280546,0.000009516615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004585851,"about_ca_system_score_gemma":0.00002529423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008854172,"about_ca_topic_score_gemma":9.664163e-7,"domain_scores_codex":[0.9986687,0.00006443865,0.0003074964,0.0004015828,0.0002358594,0.0003219509],"domain_scores_gemma":[0.9994045,0.00001933451,0.00007044123,0.0002399506,0.00009071755,0.0001750513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001884812,0.0005841495,0.0001852828,0.00003238453,0.00002220954,0.000004249484,0.0001957904,0.000003477901,0.9905866,0.00348308,0.0006493214,0.004064955],"study_design_scores_gemma":[0.01032875,0.0003546855,0.6520289,0.0002008983,0.0002896041,0.00004619662,0.0005605795,0.0002084517,0.283568,0.01722637,0.03454512,0.0006424677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913436,0.0009761241,0.004401194,0.0005515068,0.0000776283,0.001330099,0.00001930079,0.0002420179,0.001058544],"genre_scores_gemma":[0.9904491,0.0002136974,0.006793698,0.002079834,0.0003058939,0.00007706559,0.00005726093,0.00001763499,0.000005760754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7070187,"threshold_uncertainty_score":0.7961202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03729831185787058,"score_gpt":0.3085659767606529,"score_spread":0.2712676649027823,"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."}}