{"id":"W2172231451","doi":"10.1109/icorr.2009.5209520","title":"Rehabilitation of grasping and forearm pronation/supination with the Haptic Knob","year":2009,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Simon Fraser University; National Science Foundation","keywords":"Physical medicine and rehabilitation; Rehabilitation; Haptic technology; Wrist; Forearm; Stroke (engine); Upper limb; Homogeneous; Robot; Chronic stroke; Physical therapy; Robot end effector; Psychology; Computer science; Medicine; Artificial intelligence; Surgery; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003143235,0.0003444328,0.0003876162,0.0001812912,0.0001612299,0.00009463301,0.0001482153,0.0002369393,0.001215108],"category_scores_gemma":[0.0003889478,0.00007748747,0.0001882239,0.00007222527,0.0002631294,0.0001511601,0.0001715086,0.0001216442,0.0001943454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005665558,"about_ca_system_score_gemma":0.000148787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003795633,"about_ca_topic_score_gemma":0.0008243549,"domain_scores_codex":[0.9998562,0.00005413174,0.000007810035,0.00001598504,0.00003266659,0.00003306849],"domain_scores_gemma":[0.9999412,0.00002325889,0.00001028134,0.000005223177,0.000006499704,0.00001351601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01178733,0.0138474,0.01895807,0.001205674,0.0001823073,0.001389102,0.001158719,0.002209516,0.5973966,0.000194094,0.0004129007,0.3512583],"study_design_scores_gemma":[0.001905634,0.2771052,0.5761641,0.0001196954,0.0002602309,0.00756618,0.0008104447,0.004565206,0.1243002,0.0003051156,0.006813414,0.00008457262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981375,0.0003806795,0.001074356,0.00001376054,0.000005773523,0.00004378778,0.000009121168,0.00001065921,0.0003242723],"genre_scores_gemma":[0.9964155,0.0005383633,0.001960541,0.0000275798,0.00001661425,0.0000678728,0.00004477608,0.000002044439,0.0009267956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001215108,"threshold_uncertainty_score":0.004064918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006735837197513953,"score_gpt":0.2542213977575024,"score_spread":0.2474855605599885,"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."}}