{"id":"W3092524093","doi":"10.3138/ptc-2019-0095","title":"Balancing Access with Technology: Comparing In-Person and Telerehabilitation Berg Balance Scale Scores among Stroke Survivors","year":2020,"lang":"en","type":"article","venue":"Physiotherapy Canada","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Mary's Hospital Centre; Covenant Health; University of Alberta","funders":"","keywords":"Berg Balance Scale; Telerehabilitation; Inter-rater reliability; Telehealth; Physical therapy; Occupational therapy; Stroke (engine); Balance (ability); Rehabilitation; Medicine; Physical medicine and rehabilitation; Psychology; Telemedicine; Rating scale; Health care","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00004859554,0.0001421631,0.0003332553,0.0001278459,0.00005394004,0.00002298002,0.00008199189,0.00004613099,0.00002419263],"category_scores_gemma":[0.00003480146,0.0001166583,0.00002667372,0.0004657561,0.0001178509,0.0001425958,0.00001344871,0.0001746405,3.622294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667185,"about_ca_system_score_gemma":0.0002561147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2381455,"about_ca_topic_score_gemma":0.5670899,"domain_scores_codex":[0.9990742,0.00002711518,0.0001596199,0.0003001412,0.0002342357,0.0002046487],"domain_scores_gemma":[0.9995056,0.0001127903,0.00006676379,0.0001343566,0.00005636632,0.0001241303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001549059,0.00002290236,0.9843497,0.0001865981,0.00002849767,0.000005694297,0.0005590467,0.0001758604,0.0104395,0.00001213671,0.0001309026,0.003934234],"study_design_scores_gemma":[0.001394359,0.0002205356,0.9877685,0.0002150646,0.000008131645,0.00000264668,0.002152188,0.005609,0.002284032,0.000008068393,0.0001988355,0.0001386276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952463,0.0002743265,0.00006911095,0.003577479,0.00007533477,0.0003636607,0.000005067986,0.00004920681,0.0003395069],"genre_scores_gemma":[0.9986536,0.00003983877,0.0004642394,0.0006856907,0.00005760679,0.00002592896,0.00000439717,0.00002231217,0.00004641065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3289444,"threshold_uncertainty_score":0.7669277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009696732180476673,"score_gpt":0.2529923199279459,"score_spread":0.2432955877474692,"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."}}