{"id":"W3081302210","doi":"10.22215/etd/2014-10142","title":"Design, Control, and Implementation of a Robotic Gait Rehabilitation System for Overground Gait Training","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Gait; Controller (irrigation); Trajectory; Robot; Stability (learning theory); Computer science; Gait training; Simulation; Engineering; Control engineering; Control theory (sociology); Artificial intelligence; Control (management); Rehabilitation; Physical medicine and rehabilitation; Physical therapy","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":[0.0002945274,0.0003803018,0.0002719647,0.0002553203,0.0002653598,0.0004290201,0.0007375955,0.0003671533,0.002651013],"category_scores_gemma":[0.0003404142,0.0002281112,0.0002307616,0.00008839594,0.0001603686,0.0002541348,0.0002624352,0.0002611629,0.0007458118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833115,"about_ca_system_score_gemma":0.0007164778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008980549,"about_ca_topic_score_gemma":0.001128715,"domain_scores_codex":[0.9998378,0.00001711364,0.00001560586,0.0000430392,0.00006392226,0.00002254169],"domain_scores_gemma":[0.9998544,0.00002007868,0.00002482535,0.00001862599,0.00006533621,0.00001673083],"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":[0.0003258391,0.0005488626,0.002748324,0.000534008,0.00005951847,0.0005418523,0.0003842752,0.02720649,0.6323287,0.004254048,0.003158427,0.3279095],"study_design_scores_gemma":[0.0003746743,0.006561474,0.01903398,0.0002382881,0.0002401176,0.001661334,0.0002411318,0.4794292,0.4193764,0.001473278,0.07123519,0.0001350007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1585528,0.0002473211,0.8249515,0.0002228295,0.0001671694,0.001024499,0.0001499761,0.003761995,0.0109219],"genre_scores_gemma":[0.7595527,0.0002809916,0.2245478,0.0001363533,0.00002638069,0.0007832311,0.0001772728,0.00008484029,0.01441055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002651013,"threshold_uncertainty_score":0.008868515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103816395435351,"score_gpt":0.254816987235883,"score_spread":0.2437788232815295,"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."}}