{"id":"W4387460469","doi":"10.21203/rs.3.rs-3405498/v1","title":"Evaluating Effectiveness of Telerehabilitation Services Among Injured Workers Treated in a Canadian Workers’ Compensation System: A Population-Based Study","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Workers Compensation Board of Alberta; University of Alberta","funders":"Workers' Compensation Board – Alberta","keywords":"Telerehabilitation; Medicine; Confidence interval; Odds ratio; Hazard ratio; Physical therapy; Workers' compensation; Rehabilitation; Descriptive statistics; Confounding; Telemedicine; Psychology; Statistics; Compensation (psychology); Health care","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001937638,0.0004307718,0.0005793102,0.00111346,0.002567852,0.001194434,0.00158464,0.0007439243,0.001549614],"category_scores_gemma":[0.005602896,0.0003736011,0.000866248,0.002374765,0.0008184251,0.0004883299,0.0006959395,0.0008566281,0.000134891],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01784687,"about_ca_system_score_gemma":0.02360812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9305391,"about_ca_topic_score_gemma":0.9512373,"domain_scores_codex":[0.9969485,0.00054669,0.0001736294,0.0003011634,0.001353915,0.0006760538],"domain_scores_gemma":[0.9968258,0.0003447437,0.0009516227,0.00008769405,0.001050104,0.0007400425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003678865,0.001218256,0.9850399,0.000157882,0.0001442685,0.00006132008,0.001364815,0.0001089324,0.0002794823,0.00002994819,0.0003413052,0.01088588],"study_design_scores_gemma":[0.0000521498,0.000728028,0.9967486,0.00003327598,0.00005377367,0.00002146616,0.001905593,0.0001978163,0.00004804558,0.000006834456,0.0001917143,0.00001281386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986708,0.0002483944,0.00004266264,0.00007801672,0.000004173045,0.0001496377,0.000314399,0.000002727761,0.0004892077],"genre_scores_gemma":[0.9991044,0.0002454895,0.0001354578,0.00007725045,0.000006567779,0.00007196387,0.0002217724,0.000001232956,0.0001358741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9821531,"threshold_uncertainty_score":0.1397399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134579059793789,"score_gpt":0.5000573614865298,"score_spread":0.3654783016927408,"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."}}