{"id":"W3048265805","doi":"10.1007/s12204-020-2210-3","title":"Identification and Control of Flexible Joint Robot Using Multi-Time-Scale Neural Network","year":2020,"lang":"en","type":"article","venue":"Journal of Shanghai Jiaotong University (Science)","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Singular perturbation; Artificial neural network; Controller (irrigation); Bounded function; Identification (biology); Computer science; System identification; Stability (learning theory); Control engineering; Engineering; Mathematics; Control (management); Artificial intelligence","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":[0.0006565942,0.000115797,0.0003322775,0.0002574162,0.0001681344,0.00005284114,0.0003630731,0.00004483383,0.00001318869],"category_scores_gemma":[0.00004574827,0.000117374,0.0000902752,0.0007321741,0.0003879874,0.0009395473,0.00007450908,0.0001766239,0.000003543054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002010251,"about_ca_system_score_gemma":0.000129819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001245136,"about_ca_topic_score_gemma":0.000001541402,"domain_scores_codex":[0.9988101,0.0000310855,0.0003509574,0.0001562307,0.0003977035,0.0002539964],"domain_scores_gemma":[0.9988348,0.0000299058,0.0003300227,0.0001125789,0.0004427516,0.0002498789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008332182,0.00002270154,0.001983309,0.00003307482,0.00005277716,0.00003180303,0.001029295,0.2597643,0.7362296,0.00003525123,0.00004407865,0.0006904699],"study_design_scores_gemma":[0.001312837,0.0001183689,0.02060081,0.00006465375,0.00008632676,0.00004202206,0.001151308,0.9639642,0.01238311,0.000003903148,0.0001357719,0.0001367392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7781076,0.0002898334,0.2207001,0.000172429,0.000392995,0.0001824415,0.000008571059,0.00003727787,0.0001087942],"genre_scores_gemma":[0.9950352,0.00001055051,0.004649946,0.00002473578,0.0002031914,5.132627e-8,2.332466e-7,0.00001114003,0.00006499686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7238465,"threshold_uncertainty_score":0.4786374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580979884641989,"score_gpt":0.2211126609169028,"score_spread":0.1953028620704829,"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."}}