{"id":"W3025972542","doi":"10.1109/tvt.2020.2993725","title":"Making the Case for Switched Reluctance Motors for Propulsion Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Switched reluctance motor; Propulsion; Torque ripple; Automotive engineering; Electrically powered spacecraft propulsion; Engineering; Reluctance motor; Torque; Electric motor; Control engineering; Computer science; Direct torque control; Electrical engineering; Induction motor; Rotor (electric); Aerospace engineering; Voltage","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":[0.00006800424,0.0001413375,0.0001677346,0.0001482452,0.0002865212,0.00001602703,0.0001939156,0.0001841289,0.000006524841],"category_scores_gemma":[0.00000919003,0.0001160982,0.000155245,0.0007482834,0.00004155519,0.00003614577,6.678297e-7,0.0002428505,0.000006719158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005625635,"about_ca_system_score_gemma":0.00001100696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001712796,"about_ca_topic_score_gemma":0.000008834838,"domain_scores_codex":[0.9992715,0.000009479067,0.0001961984,0.0002399273,0.00005867936,0.000224184],"domain_scores_gemma":[0.9995245,0.00007221522,0.0000339551,0.00027697,0.00005697091,0.00003537123],"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":[0.00006945503,0.0001111898,0.000003695984,0.0003313686,0.000489067,0.00005350576,0.000212481,0.1424682,0.171471,0.002679583,0.001130992,0.6809795],"study_design_scores_gemma":[0.0004566787,0.0001726008,4.478033e-7,0.00001434194,0.0002128953,0.0001064357,0.0000959849,0.8771023,0.09104694,0.001225452,0.02934131,0.0002245912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009463917,0.0003241565,0.9845387,0.003489996,0.00005993771,0.001367939,0.00002861993,0.000713815,0.00001291623],"genre_scores_gemma":[0.974516,0.00004514964,0.02194931,0.0001552375,0.0000545947,0.003200219,0.00000272147,0.00004169779,0.00003509569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9650521,"threshold_uncertainty_score":0.4734348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122428780250496,"score_gpt":0.2460501687244015,"score_spread":0.2248258809218966,"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."}}