{"id":"W4299663771","doi":"10.1161/strokeaha.117.020275","title":"Virtual Reality for Stroke Rehabilitation","year":2018,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":358,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rehabilitation; George (robot); Medicine; Public health; Library science; Gerontology; Nursing; Art history; Art; Physical therapy","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":[0.000678548,0.0006123208,0.0003968441,0.0007396812,0.0002826842,0.001733375,0.0005791097,0.001049912,0.01485194],"category_scores_gemma":[0.001471699,0.0001554419,0.0004650885,0.000502857,0.0004275344,0.0007634342,0.001349482,0.0006966791,0.002467805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002717423,"about_ca_system_score_gemma":0.0004061501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122834,"about_ca_topic_score_gemma":0.001725711,"domain_scores_codex":[0.9995558,0.0002079356,0.00002411637,0.00003480708,0.0001366129,0.00004076048],"domain_scores_gemma":[0.9996383,0.0001780746,0.00002979072,0.000048914,0.00005727315,0.00004760189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008123157,0.000299862,0.0007729439,0.001268587,0.000153025,0.0004414252,0.0003966968,0.003495815,0.01217086,0.0191875,0.05267322,0.9083276],"study_design_scores_gemma":[0.0003607996,0.002715697,0.01638245,0.00389647,0.000646676,0.01082952,0.001207448,0.0146885,0.01384334,0.07197801,0.8630987,0.0003524746],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0876894,0.4244446,0.1829336,0.01360737,0.007941524,0.0003098963,0.001852747,0.002926131,0.2782947],"genre_scores_gemma":[0.7320498,0.1429529,0.06362077,0.003837684,0.002531567,0.000310484,0.001089099,0.0002583241,0.05334945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01485194,"threshold_uncertainty_score":0.04968476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094304370777598,"score_gpt":0.3208210274572472,"score_spread":0.2998779837494712,"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."}}