{"id":"W3134554521","doi":"10.1093/ptj/pzab083","title":"Implementation and Evaluation of the Virtual Graded Repetitive Arm Supplementary Program (GRASP) for Individuals With Stroke During the COVID-19 Pandemic and Beyond","year":2021,"lang":"en","type":"article","venue":"Physical Therapy","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"March of Dimes Canada; Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Telerehabilitation; Videoconferencing; Attendance; Rehabilitation; Audit; Checklist; Telemedicine; Test (biology); Pandemic; Fidelity; Medicine; Physical therapy; Medical education; Physical medicine and rehabilitation; Computer science; Psychology; Coronavirus disease 2019 (COVID-19); Health care; Multimedia; Disease; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01332301,0.0007994762,0.0007256326,0.0006897693,0.00127739,0.0008903035,0.001333581,0.001273855,0.001954233],"category_scores_gemma":[0.02311683,0.0003719373,0.001303535,0.0004777281,0.000844374,0.001243511,0.002035216,0.001427791,0.0002368468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003131934,"about_ca_system_score_gemma":0.008502117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007434482,"about_ca_topic_score_gemma":0.00953447,"domain_scores_codex":[0.9886373,0.007511409,0.0008150654,0.0004287156,0.001234102,0.001373412],"domain_scores_gemma":[0.9924905,0.002651779,0.001293663,0.0005419854,0.001449868,0.001572331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02436013,0.2090986,0.06564546,0.003367846,0.0006337235,0.0008543397,0.02269982,0.005065743,0.005840919,0.0007184646,0.002731842,0.6589831],"study_design_scores_gemma":[0.01379342,0.7296368,0.2267143,0.001235984,0.0007737757,0.0003137184,0.01156704,0.003803404,0.006371643,0.0004587428,0.005159739,0.0001714781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915624,0.0001185417,0.0007397456,0.0002670509,0.00003361077,0.005782127,0.0001075748,0.000052305,0.001336715],"genre_scores_gemma":[0.9813405,0.0002963388,0.006586849,0.0003101958,0.00004534645,0.01048858,0.0002351515,0.0000110576,0.0006858407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01332301,"threshold_uncertainty_score":0.07045966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04713557580584274,"score_gpt":0.3946143257895079,"score_spread":0.3474787499836652,"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."}}