{"id":"W2056662801","doi":"10.1249/01.mss.0000386496.83857.2e","title":"Muscle Mass and Respiratory Quotient as Predictors of Insulin Resistance in Older Adults: A Cross-Sectional Study","year":2010,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Respiratory quotient; Internal medicine; Endocrinology; Resting energy expenditure; Carbohydrate metabolism; Medicine; Insulin resistance; Metabolism; Lean body mass; Diabetes mellitus; Energy metabolism; Physiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00160226,0.0003441871,0.0003943072,0.0004946713,0.0002716848,0.0004351505,0.0002237504,0.0005312311,0.00110453],"category_scores_gemma":[0.002465431,0.0004429203,0.0004191652,0.000473652,0.00021195,0.0004025692,0.000319926,0.0006107166,0.0002910097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115354,"about_ca_system_score_gemma":0.0001684673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001376183,"about_ca_topic_score_gemma":0.001598897,"domain_scores_codex":[0.9996156,0.0001595902,0.00004946365,0.00006552944,0.00006864668,0.0000411942],"domain_scores_gemma":[0.9987677,0.0003814759,0.0003674245,0.0001269095,0.0001373215,0.0002191859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001315663,0.00007052983,0.9991595,0.000004533752,0.00007406218,0.00001917374,0.00002805775,0.00001477903,0.0001323738,0.000003610185,0.00001952958,0.0003422899],"study_design_scores_gemma":[0.00001332975,0.0002881466,0.9992881,0.000002565144,0.00004134212,0.0001006876,0.00004726257,0.0001257369,0.00003311636,0.000006609133,0.00005139167,0.000001758924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994673,0.000204302,0.00007262699,0.00001584957,0.000004462165,0.00000934917,0.0001033679,0.000002271916,0.0001205645],"genre_scores_gemma":[0.9995155,0.00006805872,0.0001128819,0.00002165921,0.00001018081,0.0000140185,0.000145254,0.000001069359,0.0001113759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00160226,"threshold_uncertainty_score":0.008473694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853892992724046,"score_gpt":0.3304007112813319,"score_spread":0.3118617813540914,"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."}}