{"id":"W2618919002","doi":"10.1016/j.bjpt.2017.06.013","title":"Muscle strength can better differentiate between gradations of functional performance than muscle quality in healthy 50–70 y women","year":2017,"lang":"en","type":"article","venue":"Brazilian Journal of Physical Therapy","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"University of Limerick; Enterprise Ireland","keywords":"Isometric exercise; Lean tissue; Lean body mass; Muscle strength; Medicine; Functional training; Muscle mass; Physical medicine and rehabilitation; Physical therapy; Internal medicine; Body weight","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004906816,0.000136054,0.0005562029,0.0001551604,0.000224135,0.00002628312,0.0001868694,0.00005002652,0.0001156794],"category_scores_gemma":[0.00003932165,0.0001078269,0.0001664637,0.00009281877,0.0001386053,0.0002153285,0.00002057539,0.0004654952,0.000003588925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123257,"about_ca_system_score_gemma":0.0001715897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004654577,"about_ca_topic_score_gemma":0.0000220574,"domain_scores_codex":[0.9983878,0.0001232785,0.0006225441,0.0001469951,0.0004232046,0.0002962397],"domain_scores_gemma":[0.9984931,0.0001154892,0.0006413549,0.0003097536,0.0001586324,0.0002816831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001667476,0.001989642,0.8054782,0.0003682755,0.0001588772,0.000007765791,0.002754149,0.000006262992,0.01434416,0.0004001996,0.000273241,0.1725518],"study_design_scores_gemma":[0.004856213,0.0009381221,0.9897088,0.0002232891,0.00001090288,0.000002995603,0.0001567305,0.00005312797,0.0009795349,0.001338574,0.001639001,0.00009272316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894967,0.00005452658,0.00007461491,0.009909391,0.0001627369,0.0001574746,0.00003045253,0.000007840269,0.0001062796],"genre_scores_gemma":[0.9979837,0.0002045888,0.0001837202,0.000614512,0.0009320099,0.000006878386,0.00001192949,0.00001604867,0.00004664013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1842306,"threshold_uncertainty_score":0.4397051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07677284091119332,"score_gpt":0.370207326480968,"score_spread":0.2934344855697747,"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."}}