{"id":"W2159436884","doi":"10.1504/ijbbr.2011.043748","title":"Robot assisted rehabilitation for elbow and forearm movements","year":2011,"lang":"en","type":"article","venue":"International Journal of Biomechatronics and Biomedical Robotics","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Forearm; Kinematics; Exoskeleton; Elbow; Controller (irrigation); Powered exoskeleton; Physical medicine and rehabilitation; Joystick; Simulation; Wrist; Engineering; Robot; Rehabilitation; Computer science; Artificial intelligence; Physical therapy; Medicine","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":[0.0001545634,0.0003963994,0.0002464494,0.0002293291,0.000121885,0.0002161894,0.0002772213,0.0003736492,0.0031945],"category_scores_gemma":[0.0002022482,0.0001063525,0.0002527536,0.0001219832,0.0001294354,0.0001595709,0.0003158124,0.0001667408,0.0008373943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009116853,"about_ca_system_score_gemma":0.0002033298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005617902,"about_ca_topic_score_gemma":0.0008538776,"domain_scores_codex":[0.9998493,0.00004011764,0.00001103376,0.00002783068,0.00005542488,0.00001620372],"domain_scores_gemma":[0.9999382,0.00001817781,0.0000140601,0.00001013606,0.00001515941,0.00000423904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004576368,0.0001808266,0.00100585,0.0009326758,0.0000682357,0.0006142089,0.0001797795,0.06018061,0.4387998,0.004143264,0.005280669,0.4881565],"study_design_scores_gemma":[0.0003680543,0.002512228,0.020182,0.0003322874,0.000121368,0.002851474,0.0001660033,0.7117796,0.1184768,0.00457221,0.1384984,0.000139513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07653198,0.00338901,0.8995855,0.0001979597,0.0001758174,0.0002073628,0.0001904448,0.002972335,0.01674952],"genre_scores_gemma":[0.8684139,0.001391986,0.1073701,0.0001423892,0.00004120897,0.0003827063,0.000279046,0.00006601655,0.0219127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0031945,"threshold_uncertainty_score":0.0106867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266482725028077,"score_gpt":0.3011525812790094,"score_spread":0.2745043087762017,"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."}}