{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004509648,0.0001053023,0.000242699,0.0003792637,0.00003540474,0.00002500361,0.0000946204,0.0001181949,0.00002893422],"category_scores_gemma":[0.0004519824,0.0000771615,0.0001509441,0.00009310451,0.0001922722,0.0001039738,0.00004347487,0.0001252495,8.222693e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009064002,"about_ca_system_score_gemma":0.0001176931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006427765,"about_ca_topic_score_gemma":0.000001532992,"domain_scores_codex":[0.9987389,0.00001969405,0.0005149287,0.0001372212,0.000446506,0.0001426927],"domain_scores_gemma":[0.9986565,0.00024881,0.000255709,0.00006775323,0.0005513675,0.0002198641],"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":[0.00417712,0.004133975,0.07461336,0.0006899727,0.003100682,0.0001366163,0.002702964,0.00002461885,0.049925,0.02988344,0.003287292,0.827325],"study_design_scores_gemma":[0.02894304,0.03014966,0.7942393,0.001746696,0.0009235883,0.002616209,0.004562955,0.01478877,0.003122456,0.05656967,0.0614901,0.0008475831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7392099,0.001972943,0.238048,0.01530039,0.004285193,0.0007835389,0.00008596727,0.00003198722,0.0002820948],"genre_scores_gemma":[0.8555412,0.0004623616,0.1432315,0.0003366001,0.00027444,0.000004180341,0.00002376681,0.00001310288,0.0001128462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8264774,"threshold_uncertainty_score":0.3146555,"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."}}