{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006270476,0.0006443058,0.0008192406,0.000727791,0.0002939188,0.001292921,0.00061247,0.0009375638,0.001154719],"category_scores_gemma":[0.01398898,0.0001430541,0.0003337398,0.0006571988,0.0002909415,0.0009061836,0.0007788253,0.0005480225,0.0002841598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288102,"about_ca_system_score_gemma":0.000433831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007104182,"about_ca_topic_score_gemma":0.002168744,"domain_scores_codex":[0.9971008,0.001543202,0.0002910121,0.0003365518,0.0006134812,0.0001150182],"domain_scores_gemma":[0.9947648,0.002492762,0.001109797,0.0001852502,0.001194922,0.0002525045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001122619,0.0002961595,0.8041485,0.001092432,0.0002531295,0.0001138439,0.0008747214,0.0002207349,0.00185487,0.0002263115,0.001783032,0.1880135],"study_design_scores_gemma":[0.00008500979,0.00153056,0.984868,0.0009195363,0.0003580094,0.0009171459,0.001266825,0.004736097,0.00142612,0.0004908089,0.003353944,0.00004808388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678014,0.01844342,0.005001579,0.002603038,0.0002431503,0.0001389805,0.000346241,0.0000820573,0.005340148],"genre_scores_gemma":[0.9937887,0.001523315,0.003667198,0.0003923562,0.0001094647,0.00007232634,0.0001160926,0.000007008875,0.0003235518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006270476,"threshold_uncertainty_score":0.03316188,"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."}}