{"id":"W2090771768","doi":"10.1109/tro.2014.2361937","title":"Virtual Constraint Control of a Powered Prosthetic Leg: From Simulation to Experiments With Transfemoral Amputees","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Robotics","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; U.S. Army Medical Research Acquisition Activity; National Institutes of Health","keywords":"Control theory (sociology); Robustness (evolution); Gait; Robot; Computer science; Feedback linearization; Constraint (computer-aided design); Linearization; Inverted pendulum; Control (management); Control engineering; Simulation; Engineering; Artificial intelligence; Nonlinear system; Physical medicine and rehabilitation","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":[0.00007898419,0.0002233613,0.0003025818,0.0001377166,0.00005835471,0.00002838934,0.0001162689,0.0001048141,0.00003029325],"category_scores_gemma":[0.000004816331,0.0002010646,0.00009200252,0.0001735186,0.0001103915,0.0000682696,5.001885e-7,0.0001621799,0.00001882966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005148589,"about_ca_system_score_gemma":0.00002410426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006741372,"about_ca_topic_score_gemma":0.00001329773,"domain_scores_codex":[0.9988901,0.00004640554,0.0003625128,0.000213187,0.0002657336,0.0002220562],"domain_scores_gemma":[0.9992349,0.0002045105,0.00003698726,0.0002811347,0.0001065117,0.0001359815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008962213,0.0001618166,0.00001770211,0.00001746772,0.00007398659,7.34412e-7,0.001070067,0.9806974,0.01003862,0.0002834575,0.000002583025,0.007546571],"study_design_scores_gemma":[0.001905902,0.001162531,0.0001691695,0.0001016524,0.00008465417,0.000001934656,0.000207738,0.9604738,0.03543059,0.00008846588,0.00006967471,0.000303858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08094987,0.00001321926,0.9176787,0.0001376341,0.0003967931,0.0004905448,0.00008081688,0.0001466494,0.0001057696],"genre_scores_gemma":[0.9747339,0.000003477298,0.02504581,0.00007987738,0.00002252513,0.00002682588,0.000005236179,0.00004883411,0.00003351859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.893784,"threshold_uncertainty_score":0.8199174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009081136220933407,"score_gpt":0.2220301461980484,"score_spread":0.212949009977115,"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."}}