{"id":"W2056081548","doi":"10.1109/tpwrd.2007.899609","title":"Dynamic Model of a Space Vector Modulated Matrix Converter","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Grid; Control theory (sociology); Computer science; Space vector modulation; Matrix (chemical analysis); Electronic engineering; Engineering; Pulse-width modulation; Mathematics; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002088114,0.0005514974,0.0006790034,0.0004573436,0.0005613659,0.001308899,0.001090151,0.0009753811,0.005127391],"category_scores_gemma":[0.0002923788,0.0002619385,0.0004700204,0.0004475952,0.0005469014,0.001147227,0.0004302931,0.00082022,0.00111868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000601146,"about_ca_system_score_gemma":0.0006407779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004416761,"about_ca_topic_score_gemma":0.002404793,"domain_scores_codex":[0.9997715,0.0000432425,0.00001088684,0.00005005609,0.0001045566,0.00001974975],"domain_scores_gemma":[0.9998958,0.00002778872,0.00001794322,0.00001285944,0.00003867612,0.000006916764],"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":[0.00008648802,0.0000565646,0.0004706029,0.0001539236,0.00003532832,0.0004392798,0.0001474495,0.9067586,0.01733365,0.05274802,0.001808014,0.01996209],"study_design_scores_gemma":[0.000009879879,0.00003154718,0.00009131823,0.000005110399,0.000006099926,0.00007821813,0.0000101591,0.9936827,0.0009078076,0.002496047,0.002674917,0.000006128036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03632627,0.0008408598,0.891395,0.0004508286,0.0001801287,0.0001595372,0.0004002364,0.0009776808,0.06926949],"genre_scores_gemma":[0.9483868,0.0009146324,0.02543248,0.0001113893,0.00009073723,0.0002290706,0.0002442256,0.00007017456,0.02452033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005127391,"threshold_uncertainty_score":0.01715285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009399715813898844,"score_gpt":0.2162198955551203,"score_spread":0.2068201797412214,"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."}}