{"id":"W4205375673","doi":"10.1109/tia.2021.3138035","title":"A Carrier-Based Modulation Strategy for Modular Isolated Matrix Rectifiers","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Galvanic isolation; Modulation (music); Electronic engineering; Computer science; Modular design; Rectifier (neural networks); Pulse-width modulation; Voltage; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001187124,0.0003492253,0.0002043126,0.0003281191,0.0002141845,0.0003235966,0.0005456715,0.0003050652,0.001666557],"category_scores_gemma":[0.0002537726,0.00008248709,0.0001719914,0.0003896039,0.0002147943,0.0008404379,0.0002419356,0.0003837559,0.0004754738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001946835,"about_ca_system_score_gemma":0.0001700165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120016,"about_ca_topic_score_gemma":0.0002372393,"domain_scores_codex":[0.999903,0.00001550923,0.000007099638,0.00002417947,0.00004135352,0.0000088293],"domain_scores_gemma":[0.999899,0.00001604536,0.00002774454,0.00001696177,0.00003377101,0.000006441334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001771668,0.0001171144,0.0003639324,0.0003966323,0.00002655898,0.0002100128,0.0002510105,0.009220109,0.57073,0.05447244,0.001380384,0.3626547],"study_design_scores_gemma":[0.0002385967,0.002765537,0.001783313,0.0001473924,0.0001106842,0.002289008,0.0001543448,0.4019474,0.5146704,0.02595968,0.04986759,0.00006606613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07056043,0.0008809591,0.9145003,0.000162292,0.0001094815,0.0001213266,0.00003619801,0.0003262643,0.01330275],"genre_scores_gemma":[0.8346015,0.000571294,0.1603534,0.0001066182,0.00009863057,0.00007513408,0.0000538631,0.00003594454,0.004103657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001666557,"threshold_uncertainty_score":0.00557518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871844761955404,"score_gpt":0.2695295994938389,"score_spread":0.2408111518742849,"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."}}