{"id":"W2156425599","doi":"10.1017/s026357471400246x","title":"Virtual decomposition control of an exoskeleton robot arm","year":2014,"lang":"en","type":"article","venue":"Robotica","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Space Agency; Centre for Interdisciplinary Research in Rehabilitation; École de Technologie Supérieure","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Exoskeleton; Robot; Task (project management); Control engineering; Degrees of freedom (physics and chemistry); Computer science; Powered exoskeleton; Robotic arm; Stability (learning theory); Decomposition; Control (management); Simulation; Control theory (sociology); Engineering; Artificial intelligence","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":[0.0003415644,0.0004295414,0.0003026859,0.0001885807,0.0001641258,0.000313563,0.0002713561,0.0002302074,0.001242797],"category_scores_gemma":[0.0003178504,0.0001291638,0.0002578456,0.00007323144,0.0003188362,0.0001857943,0.0004943141,0.0002685635,0.0001723072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344127,"about_ca_system_score_gemma":0.0001670195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005144991,"about_ca_topic_score_gemma":0.0003458285,"domain_scores_codex":[0.9998653,0.0000408992,0.000009009364,0.00002849822,0.00003975247,0.00001639671],"domain_scores_gemma":[0.9998699,0.00003938075,0.00002424508,0.00001773916,0.00003328711,0.00001551362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006505207,0.0001651575,0.0004117611,0.0002942623,0.00006444782,0.0002044017,0.0001955687,0.380062,0.481734,0.005470954,0.0008368543,0.1299102],"study_design_scores_gemma":[0.00003778997,0.0003741279,0.0005362335,0.00001063896,0.00001310997,0.00004759247,0.00001452001,0.9767467,0.01965847,0.0008852026,0.001665751,0.000009956287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1436403,0.0001243808,0.8522876,0.0000854431,0.00006961443,0.00004571713,0.00002539036,0.0004868952,0.003234764],"genre_scores_gemma":[0.9558151,0.00004953957,0.04203679,0.00001897843,0.000009515288,0.00005339851,0.00003039354,0.00001489358,0.001971316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001242797,"threshold_uncertainty_score":0.004157543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008132701427016591,"score_gpt":0.2792545773187071,"score_spread":0.2711218758916905,"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."}}