{"id":"W4248381741","doi":"10.1155/2012/956310","title":"Development and Control of a Robotic Exoskeleton for Shoulder, Elbow and Forearm Movement Assistance","year":2012,"lang":"en","type":"article","venue":"Applied Bionics and Biomechanics","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish Rehabilitation Hospital; Centre for Interdisciplinary Research in Rehabilitation; École de Technologie Supérieure","funders":"","keywords":"Exoskeleton; Rehabilitation; Forearm; Elbow; Physical medicine and rehabilitation; Powered exoskeleton; Controller (irrigation); Trajectory; Engineering; Simulation; Physical therapy; Medicine; Surgery","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":[0.0004013398,0.0003445173,0.0002293717,0.0001947736,0.000162579,0.0002501622,0.000394699,0.0003856397,0.001170718],"category_scores_gemma":[0.0002937692,0.0001718556,0.0002973642,0.00007197953,0.0001863826,0.0002230528,0.0002880561,0.0001810416,0.0002134939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000879472,"about_ca_system_score_gemma":0.0002910419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004387972,"about_ca_topic_score_gemma":0.0004726505,"domain_scores_codex":[0.9998047,0.00003069266,0.00002415059,0.00004034939,0.00008424595,0.00001580946],"domain_scores_gemma":[0.9998856,0.00002667659,0.00002644596,0.00001399531,0.00003797215,0.000009269796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004021008,0.000346612,0.002235484,0.0009054844,0.0001105324,0.0009001347,0.0003228499,0.1361022,0.609383,0.006231592,0.001301307,0.2417587],"study_design_scores_gemma":[0.0001966599,0.004117654,0.007022277,0.00009029215,0.00008733841,0.0007560087,0.00008835747,0.8470767,0.1180872,0.001011949,0.02140948,0.00005614136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1172238,0.000555713,0.8722952,0.0001767585,0.000157522,0.0003431192,0.00006546235,0.000954381,0.008227978],"genre_scores_gemma":[0.8867007,0.0003259916,0.1062204,0.00004842342,0.00002376266,0.0003842996,0.00006531264,0.00001575104,0.006215344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001170718,"threshold_uncertainty_score":0.003916442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803909197731582,"score_gpt":0.2582825288415391,"score_spread":0.2402434368642233,"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."}}