{"id":"W3047916338","doi":"10.1109/itec48692.2020.9161760","title":"Fault-Tolerant Operation of Asymmetrical Six-Phase Motor Drives in EV Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Component (thermodynamics); Fault tolerance; Computer science; Fault (geology); Phase (matter); Driving cycle; Electric vehicle; Automotive engineering; Embedding; Engineering; Artificial intelligence; Distributed computing; Power (physics); Physics","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":[0.00002401252,0.00007638535,0.0001301699,0.0000719357,0.00001178941,0.00001174304,0.00009569989,0.0000421152,0.0001365866],"category_scores_gemma":[0.000007801403,0.00007099138,0.00003469472,0.0002153436,0.0000138105,0.00008233541,0.000008990089,0.00006940452,0.00004368703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001935532,"about_ca_system_score_gemma":0.000008388665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003414823,"about_ca_topic_score_gemma":0.000009452908,"domain_scores_codex":[0.999487,0.000008268098,0.0002119768,0.0001123943,0.00008334945,0.00009695359],"domain_scores_gemma":[0.9997852,0.00002243335,0.00001203397,0.00009231315,0.00001632965,0.00007163885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006635861,0.0004070905,0.003057484,0.0003048978,0.00009356455,0.00000951862,0.00346224,0.03678235,0.261709,0.004688116,0.004894888,0.6845245],"study_design_scores_gemma":[0.0006355006,0.00003465336,0.001035188,0.000004652587,0.000004138304,2.911534e-7,0.0001273446,0.9838098,0.01208114,0.000008052481,0.002173525,0.00008575635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07987592,0.0001057787,0.9153682,0.0004898949,0.00006776043,0.0004798869,0.00002357444,0.0001666408,0.003422339],"genre_scores_gemma":[0.9979416,0.00001847432,0.001639703,0.0002609857,0.00003208794,0.00005676003,0.00001054375,0.00001085525,0.00002903504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9470274,"threshold_uncertainty_score":0.2894945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953278316800583,"score_gpt":0.2488090911975807,"score_spread":0.2292763080295749,"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."}}