{"id":"W4360615478","doi":"10.3390/math11071564","title":"Optimally Initialized Model Reference Adaptive Controller of Wearable Lower Limb Rehabilitation Exoskeleton","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Universiti Kebangsaan Malaysia","keywords":"Exoskeleton; Robustness (evolution); Trajectory; Powered exoskeleton; Wearable computer; Controller (irrigation); Computer science; Control theory (sociology); Particle swarm optimization; Rehabilitation; Simulation; Artificial intelligence; Control (management); Physical therapy; Medicine; Algorithm","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":[0.0003296174,0.0001410083,0.0002971462,0.0001354758,0.00002585573,0.00001693371,0.0001267094,0.0001045136,0.00002503853],"category_scores_gemma":[0.0002872669,0.0001278682,0.00007805489,0.0003300665,0.0000746935,0.00007681901,0.00003235474,0.0001132341,0.0001016462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003670555,"about_ca_system_score_gemma":0.00003071253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000133089,"about_ca_topic_score_gemma":0.000001271122,"domain_scores_codex":[0.9989782,0.00002099082,0.0004430261,0.000124064,0.0002340352,0.0001996831],"domain_scores_gemma":[0.9989516,0.0004562858,0.00007512271,0.0002406216,0.0002259952,0.00005044961],"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":[0.0000328574,0.00009633074,0.000004591439,0.0004119782,0.00003747091,9.375193e-7,0.002770441,0.9559258,0.006520093,0.03322251,0.0006342579,0.0003427466],"study_design_scores_gemma":[0.0004690306,0.0002523109,0.00004179491,0.0001207252,0.00001968356,6.162207e-7,0.0003968312,0.9576541,0.000436853,0.04034299,0.0001256724,0.0001394551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5787652,0.0002172343,0.3958522,0.0004181613,0.0003864681,0.001294609,0.00009014707,0.001043179,0.02193284],"genre_scores_gemma":[0.8566818,0.00006844989,0.1427131,0.00001123129,0.00001177477,0.00004613426,0.000006747885,0.00004014219,0.0004206241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2779167,"threshold_uncertainty_score":0.5214315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522104359862594,"score_gpt":0.2470984326371659,"score_spread":0.22187738903854,"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."}}