{"id":"W4284881248","doi":"10.1016/j.jstrokecerebrovasdis.2022.106629","title":"Sarcopenia in the Elderly Stroke Population—What does it Mean for Rehabilitation and Recovery?","year":2022,"lang":"en","type":"letter","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Toronto Rehabilitation Institute","funders":"","keywords":"Sarcopenia; Functional Independence Measure; Rehabilitation; Stroke (engine); Physical medicine and rehabilitation; Population; Medicine; Physical therapy; Motor function; Gerontology; Psychology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001939977,0.0005214832,0.001601931,0.0008819582,0.002565318,0.002685707,0.0009661971,0.02538476,0.004650115],"category_scores_gemma":[0.01455849,0.0004427753,0.0009733147,0.0009736054,0.001540015,0.003267352,0.0009675362,0.01797754,0.002559935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002992785,"about_ca_system_score_gemma":0.004842504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051131,"about_ca_topic_score_gemma":0.01821473,"domain_scores_codex":[0.9984876,0.0004309812,0.0003198046,0.0001488772,0.0004056845,0.0002070335],"domain_scores_gemma":[0.9943689,0.002433389,0.0005449104,0.0001080473,0.001142457,0.001402371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002909185,0.0002154106,0.01399838,0.0003211098,0.00006534531,0.006903239,0.0003857696,0.0001051405,0.0002380185,0.002214323,0.9194512,0.0558112],"study_design_scores_gemma":[0.001101835,0.000792706,0.05059791,0.005931955,0.000359674,0.02817071,0.00508316,0.001728326,0.0003274205,0.02324153,0.8823791,0.0002855627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0011388,0.00381619,0.00003064268,0.9851279,0.008319978,0.000006582432,0.00003449447,0.000009237405,0.001516124],"genre_scores_gemma":[0.01401774,0.01027564,0.0002265834,0.8622821,0.1090308,0.00006613931,0.00007916366,0.00001405717,0.004007778],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02538476,"threshold_uncertainty_score":0.02171421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009360430478422695,"score_gpt":0.255920630890729,"score_spread":0.2465602004123063,"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."}}