{"id":"W1995212779","doi":"10.1109/icorr.2013.6650346","title":"Intelligent control of a smart walker and its performance evaluation","year":2013,"lang":"en","type":"article","venue":"","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Admittance; Controller (irrigation); Gait; Computer science; Acceleration; Simulation; Control (management); Control theory (sociology); Engineering; Artificial intelligence; Physical medicine and rehabilitation; Electrical engineering","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":[0.0005050525,0.0003911356,0.00039376,0.0003744331,0.0001798115,0.0003066808,0.0002897768,0.0004089698,0.001448307],"category_scores_gemma":[0.001515453,0.00009360967,0.0002049391,0.0001329276,0.0001638098,0.0002384951,0.0002386163,0.0001439046,0.0002905537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162807,"about_ca_system_score_gemma":0.0002216525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934226,"about_ca_topic_score_gemma":0.001260648,"domain_scores_codex":[0.9996729,0.00007654953,0.0000383533,0.00004856007,0.0001341321,0.0000294636],"domain_scores_gemma":[0.9994748,0.0001760665,0.00004407641,0.00006024865,0.0002018264,0.00004298412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004685191,0.001405261,0.01768575,0.0008723314,0.0001813764,0.0006020264,0.0006788351,0.1362708,0.3939354,0.001609824,0.0008747015,0.4411986],"study_design_scores_gemma":[0.0003504355,0.01353787,0.04775327,0.00004446257,0.0001753364,0.0007054198,0.000214669,0.8166822,0.1167627,0.0005834062,0.003105138,0.00008516075],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8964777,0.0002755011,0.09896416,0.00005443419,0.00003573853,0.0001852019,0.00007518003,0.0006674281,0.003264588],"genre_scores_gemma":[0.9875869,0.00007674759,0.01118077,0.00001239966,0.000005312305,0.00007044891,0.00009172405,0.00001046816,0.0009652099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001934226,"threshold_uncertainty_score":0.004845083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109999630763746,"score_gpt":0.2186752708168589,"score_spread":0.2075752745092215,"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."}}