{"id":"W3183277556","doi":"10.3390/robotics10030095","title":"An Adaptive Assistance Controller to Optimize the Exoskeleton Contribution in Rehabilitation","year":2021,"lang":"en","type":"article","venue":"Robotics","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Alberta; Toronto Rehabilitation Institute; University of Waterloo","funders":"","keywords":"Exoskeleton; Control theory (sociology); Controller (irrigation); Torque; Computer science; Robustness (evolution); Powered exoskeleton; Feed forward; Adaptive control; Simulation; Control engineering; Engineering; Artificial intelligence; Control (management)","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":[0.0003233415,0.0001251075,0.0001930131,0.0000547726,0.00006455951,0.00005067452,0.0001122447,0.00008706269,0.000009904653],"category_scores_gemma":[0.0003404924,0.0001043162,0.00005588999,0.0003618002,0.00004277216,0.00009333616,0.00001703029,0.0001699722,0.00002076273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777253,"about_ca_system_score_gemma":0.00003516748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003409664,"about_ca_topic_score_gemma":0.00008002951,"domain_scores_codex":[0.9989986,0.0001170616,0.0002968718,0.0001857712,0.0001711544,0.0002305077],"domain_scores_gemma":[0.9989524,0.0003914844,0.00002783739,0.0002868089,0.0002603947,0.00008109352],"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":[0.00002433185,0.00005528149,0.0003691297,0.00001109649,0.00001070507,0.000002874295,0.0004353552,0.9754749,0.002218675,0.02026287,0.0002338455,0.0009009336],"study_design_scores_gemma":[0.001012678,0.0002984892,0.02051778,0.00006208293,0.00001958683,0.000003014891,0.0007875349,0.9710652,0.0008338852,0.004172842,0.0009731351,0.0002537656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07306303,0.0006187845,0.917075,0.006887786,0.000711694,0.0008129562,0.00002500251,0.0001861263,0.0006196532],"genre_scores_gemma":[0.9357247,0.00002405268,0.06389391,0.000184425,0.00004719648,0.00003807267,0.0000145188,0.00002208474,0.00005101325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8626617,"threshold_uncertainty_score":0.4253892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0065495373473259,"score_gpt":0.228767451246436,"score_spread":0.2222179138991101,"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."}}