{"id":"W2163831276","doi":"","title":"Simultaneous Plant/Controller Optimization of Traction Control for Electric Vehicle","year":2007,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Fuzzy logic; Controller (irrigation); Engineering; Torque; Electric vehicle; Control engineering; Computer science; Artificial intelligence; Control (management)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001018304,0.0001924096,0.0004448968,0.0004498686,0.00007782183,0.000006527255,0.0001958381,0.0003859512,0.0000202221],"category_scores_gemma":[0.000032884,0.0002342355,0.0001497535,0.0002498791,0.00002414145,0.0001115527,0.00000439836,0.0002164871,0.000003196458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009254785,"about_ca_system_score_gemma":0.00002638899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113446,"about_ca_topic_score_gemma":0.001557905,"domain_scores_codex":[0.9992153,0.0000111447,0.0001726163,0.0001809381,0.0001584505,0.0002615255],"domain_scores_gemma":[0.9992726,0.0001854892,0.0001936106,0.0001301971,0.0001839309,0.00003409863],"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":[0.002261755,0.0001318194,0.0001200693,0.001082963,0.000666555,0.00002820706,0.004300177,0.8492872,0.1005882,0.0002034064,0.001453657,0.03987603],"study_design_scores_gemma":[0.002180419,0.0003053528,0.0002801286,0.00007094639,0.0003187321,0.000002793937,0.005289365,0.9611595,0.02992375,0.00005698367,0.000115023,0.0002969816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855378,0.0006235178,0.01232087,0.00004103446,0.0001576171,0.0006573222,0.00008837188,0.000369115,0.0002043453],"genre_scores_gemma":[0.9819906,0.0005888298,0.001187934,0.000002841845,0.00002789788,0.000001331273,0.0002849512,0.00003845465,0.01587714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1118723,"threshold_uncertainty_score":0.9551848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004913829680481091,"score_gpt":0.1860523260042767,"score_spread":0.1811384963237956,"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."}}