{"id":"W4389248646","doi":"10.5770/cgj.26.626","title":"Addressing the Main Barrier to Sarcopenia Identification: Utility of Practical Office-Based Bioimpedance Tools Vs. Dual Energy X-ray Absorptiometry (DXA) Body Composition for Identification of Low Muscle Mass in Older Adults","year":2023,"lang":"en","type":"article","venue":"Canadian Geriatrics Journal","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Alberta Health Services","keywords":"Sarcopenia; Medicine; Sarcopenic obesity; Dual energy; Dual-energy X-ray absorptiometry; Gold standard (test); Muscle mass; Grip strength; Lean body mass; Bioelectrical impedance analysis; Cohort; Physical therapy; Internal medicine; Body mass index; Bone mineral; Osteoporosis; Body weight","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002486545,0.0001260154,0.000302938,0.001202563,0.0002605057,0.0001107259,0.0001483478,0.0001292702,0.0001251485],"category_scores_gemma":[0.000870989,0.0001202186,0.0001099394,0.001684512,0.00007493496,0.0002026037,0.00001256318,0.0002871973,0.000009288613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003701463,"about_ca_system_score_gemma":0.001577031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009014449,"about_ca_topic_score_gemma":0.001428648,"domain_scores_codex":[0.9976327,0.0001970938,0.001071556,0.0002601882,0.0004383031,0.0004001492],"domain_scores_gemma":[0.9976153,0.0003883689,0.0005212249,0.000317966,0.0006439281,0.0005132394],"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":[0.008817432,0.001790693,0.04062802,0.008448804,0.0002518733,0.0006076969,0.004845077,0.002465353,0.7319261,0.003386488,0.1155449,0.08128756],"study_design_scores_gemma":[0.003984005,0.0001588309,0.9452837,0.0009250718,0.00008938784,0.00007157776,0.0009520142,0.02943724,0.01512732,0.000265892,0.003472154,0.000232805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9377087,0.0002653707,0.04248593,0.01652525,0.001019002,0.001236382,0.0006740087,0.00002562928,0.0000597745],"genre_scores_gemma":[0.9962162,0.00006148894,0.002301876,0.0008184238,0.0002936489,0.00005285904,0.0001787877,0.00002368488,0.00005298025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9046557,"threshold_uncertainty_score":0.4902372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0699293013842241,"score_gpt":0.3563921706708277,"score_spread":0.2864628692866036,"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."}}