{"id":"W4396233932","doi":"10.32782/2522-1795.2024.18.13","title":"CORRECTION OF SARCOPENIA IN ELDERLY PATIENTS WITH POST-COVID-19 SYNDROME USING PHYSICAL THERAPY","year":2024,"lang":"uk","type":"article","venue":"Реабілітаційні та фізкультурно-рекреаційні аспекти розвитку людини (Rehabilitation & recreation)","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sarcopenia; Coronavirus disease 2019 (COVID-19); Medicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Intensive care medicine; Physical therapy; Internal medicine; Virology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002072066,0.001472305,0.00237226,0.003006426,0.0006688652,0.0003501131,0.0005551418,0.0008330742,0.002525609],"category_scores_gemma":[0.002335231,0.00135559,0.0007888261,0.004345409,0.0009393129,0.002182231,0.0001394586,0.001780753,0.0004365166],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00334266,"about_ca_system_score_gemma":0.005738265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003604441,"about_ca_topic_score_gemma":0.001080775,"domain_scores_codex":[0.9888602,0.001523157,0.003128118,0.002432506,0.002402946,0.001653022],"domain_scores_gemma":[0.9893137,0.004877647,0.001041388,0.001439697,0.002024569,0.001303056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02342726,0.01985727,0.4902013,0.02980103,0.002162463,0.0006270538,0.07954708,0.00570299,0.007366664,0.01172228,0.01196872,0.3176159],"study_design_scores_gemma":[0.04161754,0.03316426,0.7585101,0.02464565,0.001726907,0.0004783682,0.01551617,0.05028076,0.001434261,0.009758218,0.05831344,0.004554326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693617,0.007136619,0.001953366,0.006346608,0.004108558,0.007774029,0.0004827832,0.0005889056,0.002247456],"genre_scores_gemma":[0.9870058,0.0009483147,0.006126113,0.001390513,0.0007423315,0.0006312591,0.001590059,0.0003757996,0.001189858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3130616,"threshold_uncertainty_score":0.9998983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02542378287735486,"score_gpt":0.3464972154612121,"score_spread":0.3210734325838572,"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."}}