{"id":"W3096557124","doi":"10.1007/s10926-020-09934-7","title":"A Descriptive Study of the Implementation of Remote Occupational Rehabilitation Services Due to the COVID-19 Pandemic Within a Workers’ Compensation Context","year":2020,"lang":"en","type":"article","venue":"Journal of Occupational Rehabilitation","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Suncor Energy (Canada); Workers Compensation Board of Alberta; University of Alberta","funders":"","keywords":"Telerehabilitation; Workers' compensation; Rehabilitation; Telehealth; Context (archaeology); Population; Medicine; Occupational rehabilitation; Pandemic; Health care; Staffing; Service delivery framework; Telemedicine; Nursing; Environmental health; Business; Physical therapy; Service (business); Compensation (psychology); Psychology; Coronavirus disease 2019 (COVID-19); Geography; Disease; Political science","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":[0.002769968,0.0003397632,0.0005032756,0.0016552,0.004540806,0.002700562,0.001006722,0.001593406,0.004447643],"category_scores_gemma":[0.008069908,0.0008380049,0.0005376163,0.002040415,0.002223554,0.002300051,0.00270437,0.002740321,0.0004122596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005165809,"about_ca_system_score_gemma":0.007761855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03672788,"about_ca_topic_score_gemma":0.06751377,"domain_scores_codex":[0.9969558,0.001058695,0.0003176657,0.0002406273,0.0002547296,0.001172615],"domain_scores_gemma":[0.9919959,0.002963947,0.002538774,0.0001865883,0.0008787179,0.001435935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007203303,0.007129925,0.6569987,0.000774348,0.0001062536,0.003709597,0.3132814,0.0002225191,0.001030707,0.001342055,0.001152919,0.0135312],"study_design_scores_gemma":[0.00004624711,0.002058607,0.378037,0.0002958753,0.00003170146,0.0007920898,0.6158416,0.0001738631,0.0001939666,0.0001176807,0.002360063,0.00005132604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998818,0.00009889329,0.00005164092,0.0001827205,0.000006108245,0.0001178513,0.0001009557,0.000001240833,0.0006226478],"genre_scores_gemma":[0.997897,0.0002847641,0.0001697203,0.0005576148,0.00001727357,0.0002284313,0.0001287636,0.000004013283,0.0007124075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03672788,"threshold_uncertainty_score":0.07302821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09314982549036753,"score_gpt":0.41931446350787,"score_spread":0.3261646380175025,"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."}}