{"id":"W2733184014","doi":"10.1093/geroni/igx004.2530","title":"DIFFERENT INDICES OF MUSCLE MASS MAY LEAD TO DIFFERENT ASSOCIATIONS WITH THE HOMA-IR SCORE","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Insulin resistance; Muscle mass; Body mass index; Internal medicine; Endocrinology; Spurious relationship; Index (typography); Confounding; Medicine; Chemistry; Obesity; Mathematics; Statistics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002673895,0.0003565938,0.0004281282,0.001188799,0.0002806473,0.0005638642,0.0003742311,0.0002901902,0.001739243],"category_scores_gemma":[0.005717552,0.0001740204,0.0004151988,0.001271308,0.0004351218,0.0001695235,0.0003482361,0.0004520672,0.0001894425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000514816,"about_ca_system_score_gemma":0.0003041275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02280949,"about_ca_topic_score_gemma":0.0404724,"domain_scores_codex":[0.9987624,0.0005960239,0.0001146612,0.0001874907,0.0002176356,0.0001217802],"domain_scores_gemma":[0.9970541,0.00154576,0.0006653305,0.0002693961,0.0002881408,0.0001772518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001205107,0.0000173539,0.991843,0.00002166705,0.0003738695,0.00004501397,0.0001080121,0.0001467555,0.001503712,0.0001475785,0.0001234275,0.005548993],"study_design_scores_gemma":[0.000003694603,0.00002958216,0.9990772,0.000005038075,0.00004095682,0.00003990845,0.00003573643,0.000327841,0.0001556675,0.0001124186,0.0001685397,0.000003449083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994554,0.0007663239,0.002128211,0.0002128187,0.00002253047,0.00003166779,0.0006131451,0.000036456,0.001634799],"genre_scores_gemma":[0.9967107,0.0001329463,0.002120509,0.00009155641,0.00001247968,0.00002659749,0.0003422401,0.00001351389,0.0005495166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02280949,"threshold_uncertainty_score":0.04535341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07730372428489624,"score_gpt":0.3621862669037171,"score_spread":0.2848825426188209,"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."}}