{"id":"W2800975913","doi":"10.1139/tcsme-2013-0096","title":"HYBRID MODIFIED ELMAN NN CONTROLLER DESIGN ON PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVEN ELECTRIC SCOOTER","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Control theory (sociology); Controller (irrigation); Nonlinear system; Artificial neural network; Supervisor; Control engineering; PID controller; Permanent magnet synchronous motor; Computer science; Control (management); Engineering; Magnet; Temperature control; Artificial intelligence; Physics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001072653,0.0001889738,0.0002104255,0.00007503438,0.0001428255,0.00004123758,0.0002429205,0.0001177474,0.0001368801],"category_scores_gemma":[0.00001561013,0.0001729294,0.0003934545,0.0001356963,0.00001636484,0.00007087797,0.000003002986,0.0002815246,0.000008970927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571454,"about_ca_system_score_gemma":0.00006542706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002228308,"about_ca_topic_score_gemma":0.0006054714,"domain_scores_codex":[0.9990384,0.000009454559,0.0002501481,0.0001583808,0.0001457305,0.0003979131],"domain_scores_gemma":[0.9993672,0.000107229,0.00002703692,0.0002192336,0.00005790319,0.0002213591],"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":[0.000004390321,0.00001305862,2.119369e-7,0.00007969578,0.0001171881,1.907938e-7,0.00007824757,0.9737163,0.02155175,0.001467081,0.0005535073,0.002418382],"study_design_scores_gemma":[0.0004714529,0.0001081338,0.00006792413,0.00002685726,0.00006320377,0.000003674883,0.00001469709,0.9960223,0.002385773,0.0001830939,0.0004657932,0.0001870764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04574135,0.00007179083,0.9514474,0.0004657859,0.0004184605,0.001473391,0.00008587375,0.000165084,0.0001309075],"genre_scores_gemma":[0.9896181,0.00001893609,0.00965008,0.0001320372,0.00004250845,0.0002531459,0.000004203397,0.00005565038,0.0002253727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9438767,"threshold_uncertainty_score":0.7051857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007816634194116698,"score_gpt":0.1726935122240469,"score_spread":0.1648768780299302,"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."}}