{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003988686,0.0001267618,0.000256713,0.0001444892,0.0001148463,0.0000159524,0.00006126009,0.0001172546,0.0002524898],"category_scores_gemma":[0.001343934,0.0001078461,0.0002628989,0.0001041392,0.0002666717,0.00009273728,0.00001847256,0.0001030101,0.0001134892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057878,"about_ca_system_score_gemma":0.0001155618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002046678,"about_ca_topic_score_gemma":0.00002308182,"domain_scores_codex":[0.9988369,0.00004968501,0.0003049773,0.0003052391,0.0002501443,0.0002530751],"domain_scores_gemma":[0.9984441,0.0006375351,0.00007481543,0.0003409443,0.0003626646,0.0001399679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008239819,0.001573353,0.2814093,0.0008749333,0.0006709553,0.000006335354,0.005837018,0.00002282813,0.1892596,0.05480399,0.233415,0.2238869],"study_design_scores_gemma":[0.00785929,0.01682502,0.4613989,0.0001707663,0.0002237004,0.00002507114,0.003938693,0.001279269,0.01529624,0.002034899,0.4905017,0.0004464776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562967,0.00005293879,0.01586451,0.004970246,0.001363896,0.001151404,0.00027496,0.000166016,0.01985937],"genre_scores_gemma":[0.968693,0.000006555181,0.01332727,0.0004431895,0.001098329,0.00008910742,0.00005222302,0.00002298672,0.01626734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2570867,"threshold_uncertainty_score":0.4397835,"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."}}