{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002685012,0.0001147221,0.0002486296,0.00009915503,0.00006244605,0.00001098497,0.0000193601,0.00009431173,0.000003221546],"category_scores_gemma":[0.00001469869,0.00008649956,0.00003208389,0.00009085487,0.00004385623,0.00002518145,0.00002659119,0.0000445982,3.210486e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002856034,"about_ca_system_score_gemma":0.00003655135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001538126,"about_ca_topic_score_gemma":0.000002320356,"domain_scores_codex":[0.9992937,0.000004613717,0.0002233279,0.0001661041,0.0001189942,0.0001931922],"domain_scores_gemma":[0.9995793,0.00007676941,0.00008284552,0.00008657437,0.00004372597,0.0001307768],"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":[0.0006081215,0.0005744237,0.005055767,0.001759259,0.0003595785,6.670024e-7,0.0009710612,9.240031e-7,0.5498928,0.160903,0.0001888012,0.2796856],"study_design_scores_gemma":[0.04100918,0.003814835,0.06409451,0.0008635853,0.001510078,0.00009046552,0.008604299,0.02127409,0.5937961,0.01571728,0.24714,0.002085639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9113812,0.005280781,0.08098958,0.000638607,0.0001924569,0.001328319,0.00002232991,0.00002280021,0.0001439613],"genre_scores_gemma":[0.9787073,0.0004583413,0.02024911,0.000389755,0.00003573157,0.00005754637,0.00001441568,0.00001143607,0.00007633512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2776,"threshold_uncertainty_score":0.352735,"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."}}