{"id":"W3013558478","doi":"10.1109/tie.2020.2982111","title":"A Centralized CB-MPC to Suppress Low-Frequency ZSCC in Modular Parallel Converters","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interleaving; Converters; Modular design; Control theory (sociology); Model predictive control; Computer science; Electronic engineering; Modularity (biology); Controller (irrigation); Power (physics); Voltage; Engineering; Control (management); Electrical engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.00008298161,0.0003655913,0.0004264959,0.000179909,0.00007350024,0.00006117882,0.0003663651,0.0003289212,0.0003040971],"category_scores_gemma":[0.000008132251,0.0004117904,0.0001720892,0.0005650614,0.00003339821,0.0001974022,0.000001674331,0.001001823,0.0001259526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004138316,"about_ca_system_score_gemma":0.0001354922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001444666,"about_ca_topic_score_gemma":0.0001224371,"domain_scores_codex":[0.9979156,0.00006967482,0.0004803812,0.0004231562,0.0002813525,0.0008297974],"domain_scores_gemma":[0.9992015,0.00004785485,0.00003316539,0.0002964466,0.00002846549,0.0003926144],"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":[0.0008600224,0.0002348948,0.00005616997,0.00008123086,0.0003514217,0.00006360968,0.002477836,0.8540726,0.04126974,0.0001715921,0.00484196,0.09551887],"study_design_scores_gemma":[0.006995981,0.000473666,0.00002881133,0.0001000778,0.00007701232,0.000006295686,0.0001815604,0.9310436,0.0546888,0.00007021974,0.0054499,0.0008841215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2000493,0.0001320415,0.792876,0.002240489,0.002154363,0.001412774,0.0001321586,0.0006570544,0.0003457728],"genre_scores_gemma":[0.9981194,0.0001401423,0.0002150988,0.00114407,0.0001173947,0.0001325102,0.000009799389,0.00007477853,0.00004687928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.79807,"threshold_uncertainty_score":0.9998334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02858612781515404,"score_gpt":0.2152693489575696,"score_spread":0.1866832211424155,"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."}}