{"id":"W4282913655","doi":"10.1177/20552076221101684","title":"Evaluating the impact of a novel telerehabilitation service to address neurological, musculoskeletal, or coronavirus disease 2019 rehabilitation concerns during the coronavirus disease 2019 pandemic","year":2022,"lang":"en","type":"article","venue":"Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Toronto Dementia Research Alliance; Alberta Health; University of Calgary; Spinal Cord Injury Alberta; University of Alberta","funders":"","keywords":"Telerehabilitation; Medicine; Pandemic; Telehealth; Quality of life (healthcare); Population; Service (business); Rehabilitation; Health care; Usability; Family medicine; Disease; Medical emergency; Telemedicine; Physical therapy; Nursing; Coronavirus disease 2019 (COVID-19); Environmental health","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":[0.004096761,0.0003953475,0.0003112428,0.0003831203,0.0008136178,0.0006864743,0.0006161283,0.0007018473,0.002783706],"category_scores_gemma":[0.008563575,0.0001870556,0.0007860216,0.0003029757,0.0003744761,0.0006807233,0.001094374,0.0007248175,0.0002748744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803696,"about_ca_system_score_gemma":0.003946312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007703389,"about_ca_topic_score_gemma":0.01766957,"domain_scores_codex":[0.997327,0.001524268,0.000189629,0.000105223,0.0003049056,0.0005488992],"domain_scores_gemma":[0.9954868,0.001792651,0.0007075861,0.0001251199,0.000706711,0.001181046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01089492,0.03358118,0.6370097,0.002590917,0.000674328,0.001359758,0.01524144,0.003353832,0.007739674,0.0001910335,0.003426101,0.2839372],"study_design_scores_gemma":[0.0009550856,0.08096519,0.889081,0.0002872028,0.0003223019,0.0003431025,0.02045044,0.003214533,0.00185057,0.00009201438,0.002373336,0.00006519385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985121,0.00004817863,0.00007625267,0.0002063847,0.00001097666,0.0003696945,0.00008869793,0.000005712845,0.0006820493],"genre_scores_gemma":[0.9978818,0.0001298657,0.0007281422,0.0001695378,0.00002541478,0.000608148,0.0001360417,0.000002243492,0.0003186291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007703389,"threshold_uncertainty_score":0.02166599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1507353599428024,"score_gpt":0.4922886145307196,"score_spread":0.3415532545879173,"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."}}