{"id":"W4310449811","doi":"10.1109/ecce50734.2022.9947993","title":"Model-Free Predictive Pulse Pattern Control for Permanent Magnet Synchronous Motor Drives","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Energy Conversion Congress and Exposition (ECCE)","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Total harmonic distortion; Stator; Flux linkage; Pulse-width modulation; Computer science; Control theory (sociology); Modulation index; Distortion (music); Control (management); Artificial intelligence; Induction motor; Electrical engineering; Direct torque control; Engineering; Voltage; Amplifier; Telecommunications","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000958239,0.0003002782,0.0003178398,0.0001606372,0.0004418854,0.00006804259,0.000301156,0.00009180543,0.001385695],"category_scores_gemma":[0.000003714497,0.0003286359,0.0001564328,0.0000717751,0.00007436417,0.0002393172,0.0001139267,0.0001791343,0.000006079094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835555,"about_ca_system_score_gemma":0.0000288141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109174,"about_ca_topic_score_gemma":0.00001126771,"domain_scores_codex":[0.9984995,0.00007064398,0.0003103278,0.0004220887,0.0003162306,0.0003811902],"domain_scores_gemma":[0.9992496,0.00008437312,0.00008123351,0.0003277946,0.00006632538,0.0001906866],"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":[0.002147604,0.0005068689,0.001168585,0.0006726014,0.001308868,0.0002008685,0.004916146,0.4899662,0.06972854,0.001288972,0.2113826,0.2167122],"study_design_scores_gemma":[0.003323851,0.0003932308,0.0001387607,0.00002256127,0.00009519178,0.00001812402,0.0006996508,0.9887899,0.002343607,0.0001193185,0.003665136,0.0003906517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2612701,0.00147197,0.7236184,0.000718561,0.006976618,0.001205498,0.003245142,0.0006203037,0.0008734447],"genre_scores_gemma":[0.9968709,0.0002405816,0.00007131435,0.0009589302,0.0001466824,0.0006555779,0.0002594137,0.00005801141,0.0007386326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7356008,"threshold_uncertainty_score":0.9999166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00679626051505198,"score_gpt":0.1868812021571322,"score_spread":0.1800849416420803,"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."}}