{"id":"W2122438157","doi":"10.1109/tie.2010.2048836","title":"A Generalized Technique of Modeling, Analysis, and Control of a Matrix Converter Using SVD","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Singular value decomposition; Control theory (sociology); Matrix (chemical analysis); Modulation (music); Matrix decomposition; Power (physics); Computer science; Mathematics; Electronic engineering; Algorithm; Engineering; Physics; Control (management); Eigenvalues and eigenvectors; Artificial intelligence; Materials science","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":[0.0001547039,0.0001796837,0.0004386463,0.000355019,0.00004106788,0.00001218798,0.0001133934,0.0003112304,0.000082347],"category_scores_gemma":[0.000002578132,0.0001819639,0.0001892019,0.0003871225,0.00005795621,0.00007715556,6.424578e-7,0.0005874356,4.878074e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004694678,"about_ca_system_score_gemma":0.00009647651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003228549,"about_ca_topic_score_gemma":0.0001526732,"domain_scores_codex":[0.9989912,0.0000327853,0.0004133109,0.0001662926,0.0001483344,0.0002480869],"domain_scores_gemma":[0.9995233,0.00003595119,0.00007193387,0.0002349791,0.00006258998,0.0000712715],"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":[0.0001970003,0.00007329981,0.00005716714,0.00003166265,0.001210679,8.789466e-7,0.00009697488,0.2629088,0.7167715,0.0001481538,0.00001147419,0.01849232],"study_design_scores_gemma":[0.001315569,0.0000632029,0.000001210608,0.00001091043,0.0005371792,0.000004306298,0.000009149735,0.7781246,0.2197367,0.00003257553,0.00003598625,0.0001286078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2698422,0.00004566197,0.7295611,0.000008925193,0.0002047589,0.0002380511,0.00004595149,0.00004304243,0.00001032805],"genre_scores_gemma":[0.9988019,0.00006457051,0.001018366,0.00001509909,0.00003084227,0.00003012131,0.000002114827,0.00002620294,0.00001080569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7289597,"threshold_uncertainty_score":0.7420275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196542602560028,"score_gpt":0.2457718658860271,"score_spread":0.2261176056300243,"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."}}