{"id":"W2480096044","doi":"10.1139/apnm-2016-0238","title":"The influence of subcutaneous fat on the relationship between body composition and ultrasound-derived muscle quality","year":2016,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Subcutaneous fat; Composition (language); Ultrasound; Quality (philosophy); Internal medicine; Medicine; Animal science; Adipose tissue; Biology; Physics; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003621411,0.0001290833,0.0002581278,0.00004829932,0.0003036771,0.0000116978,0.00007483019,0.0001041539,0.000006708916],"category_scores_gemma":[0.0001170595,0.00006708949,0.00004288963,0.00009225253,0.0005377689,0.00004502371,0.00002527215,0.0001621594,0.00000511228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001573024,"about_ca_system_score_gemma":0.00001084991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007133801,"about_ca_topic_score_gemma":6.900842e-7,"domain_scores_codex":[0.9989511,0.0002224615,0.000290884,0.0002176197,0.0001718272,0.0001460463],"domain_scores_gemma":[0.9972195,0.002178532,0.0001610111,0.0002772028,0.0001047241,0.0000590392],"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":[0.0001661895,0.00007131587,0.001477509,0.00002792861,0.00002570636,2.333163e-7,0.00005020919,9.508226e-8,0.8989809,0.09835862,0.0001213928,0.000719946],"study_design_scores_gemma":[0.001133919,0.00004189094,0.8679782,0.00008317635,0.00006501267,0.000009082642,0.0000423272,2.361686e-7,0.1022529,0.02697158,0.001343616,0.00007804151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957143,0.0002323235,0.000143373,0.002951908,0.00002207652,0.0006707115,0.0000259426,0.00006936661,0.0001699707],"genre_scores_gemma":[0.9984068,0.0005785753,0.0001925921,0.000546683,0.0001093536,0.0001192409,0.0000277337,0.000009987816,0.000008991949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8665007,"threshold_uncertainty_score":0.273583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03665619949780075,"score_gpt":0.2933432484591526,"score_spread":0.2566870489613518,"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."}}