{"id":"W2099438588","doi":"10.1109/tpel.2008.2009055","title":"Minimize Low-Order Harmonics in Low-Switching-Frequency Space-Vector-Modulated Current Source Converters With Minimum Harmonic Tracking Technique","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Harmonics; Converters; Space vector modulation; Harmonic; Topology (electrical circuits); Reduction (mathematics); State (computer science); Algorithm; Computer science; Electronic engineering; Electrical engineering; Mathematics; Physics; Engineering; Voltage; Pulse-width modulation","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"],"consensus_categories":[],"category_scores_codex":[0.0001820299,0.0007088069,0.0005745201,0.0004917622,0.0001585817,0.0001086455,0.0004254455,0.0003148169,0.0001226863],"category_scores_gemma":[0.000003866178,0.000713984,0.0002126756,0.0008652385,0.00006240859,0.0003921625,0.000001587349,0.001636061,0.00003924768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008245895,"about_ca_system_score_gemma":0.0002637017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003428095,"about_ca_topic_score_gemma":0.0001188068,"domain_scores_codex":[0.9969764,0.00007223284,0.0006352139,0.0006699516,0.0004267915,0.001219409],"domain_scores_gemma":[0.9988644,0.00006821242,0.0001039153,0.0006234188,0.0001073246,0.0002327187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009874594,0.002443089,0.0001330571,0.0004859997,0.0007665131,0.0001684064,0.006694442,0.2223357,0.3414547,0.0001648231,0.0006427872,0.423723],"study_design_scores_gemma":[0.004024234,0.0007989208,0.000581611,0.0008751481,0.0001462009,0.00008622497,0.0001964599,0.7933709,0.1971677,0.0001925448,0.0007572868,0.001802722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1435369,0.0007406863,0.8532563,0.0002719552,0.0006061794,0.000794696,0.00001413242,0.0006490108,0.0001301247],"genre_scores_gemma":[0.9978902,0.0005885169,0.0008555744,0.0002932383,0.00001957392,0.0001306088,0.000009056487,0.0001440082,0.00006922574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8543533,"threshold_uncertainty_score":0.9995311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007321515062729889,"score_gpt":0.2127789497303315,"score_spread":0.2054574346676016,"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."}}