{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297715,0.0002895184,0.0004427748,0.0001336714,0.0007072778,0.00004341662,0.0002979357,0.00003220007,0.0003206806],"category_scores_gemma":[0.001602766,0.0001667946,0.0002277336,0.0008130503,0.0001447965,0.0002916602,0.0002365694,0.0004347869,0.00001630275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006318376,"about_ca_system_score_gemma":0.00185713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002423118,"about_ca_topic_score_gemma":0.0001209987,"domain_scores_codex":[0.9962847,0.000458114,0.001024164,0.0005530093,0.001066524,0.0006134539],"domain_scores_gemma":[0.9958985,0.00181928,0.0005595,0.0007115772,0.0003006629,0.0007105074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02121473,0.002035422,0.7665387,0.001997684,0.0001211925,0.00001642926,0.006191148,0.01226022,0.0007885251,0.0001240237,0.002873074,0.1858389],"study_design_scores_gemma":[0.003547114,0.01077354,0.9790792,0.00009588435,0.00007078274,0.00002139153,0.00195194,0.003102836,7.925659e-7,0.0000815246,0.001111872,0.0001630801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763294,0.0005109475,0.00005590908,0.01564517,0.0001875821,0.004800125,0.002353641,0.0001006868,0.00001654817],"genre_scores_gemma":[0.993551,0.00003919916,0.00009961533,0.004631541,0.0001823896,0.0006557789,0.0006910411,0.00004575989,0.0001036988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2125406,"threshold_uncertainty_score":0.6801686,"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."}}