{"id":"W2168757866","doi":"10.1109/pesc.2005.1581904","title":"Space Vector Modulation for High-Power Three-Level NPC Rectifiers Without Even Order Harmonics","year":2006,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Harmonics; Space vector modulation; Rectifier (neural networks); Harmonic; Harmonic analysis; Converters; Pulse-width modulation; Electronic engineering; Computer science; Total harmonic distortion; Modulation (music); Voltage; Power (physics); Control theory (sociology); Topology (electrical circuits); Engineering; Electrical engineering; Physics; Artificial intelligence; Acoustics","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":[0.0001762569,0.0002689673,0.0002649308,0.0001610182,0.0002663458,0.0005022292,0.0003307387,0.000349103,0.003025115],"category_scores_gemma":[0.0004397983,0.00009244995,0.0001955425,0.00044972,0.0002631605,0.0006078502,0.0001965226,0.0004439479,0.000967049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291302,"about_ca_system_score_gemma":0.0002549425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002236043,"about_ca_topic_score_gemma":0.0004237306,"domain_scores_codex":[0.9998217,0.00003319763,0.00001435573,0.0000189265,0.0001033948,0.000008517461],"domain_scores_gemma":[0.999881,0.00003112295,0.00002712842,0.00002558837,0.00003162256,0.000003524521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001973131,0.0001064928,0.000685634,0.0009432518,0.00002351267,0.0004048054,0.0003587629,0.02671464,0.1974998,0.1440241,0.004649421,0.6243922],"study_design_scores_gemma":[0.0001928559,0.001184489,0.002855483,0.0002064909,0.00008906871,0.002048762,0.0001119954,0.5931536,0.1195721,0.1175945,0.162919,0.0000717455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02891648,0.002226162,0.9471091,0.0002524562,0.0001421576,0.0001051311,0.00006774203,0.000555539,0.02062523],"genre_scores_gemma":[0.7631236,0.002191843,0.2236591,0.0001164906,0.0001598469,0.0001334953,0.0001870278,0.00006170092,0.01036691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003025115,"threshold_uncertainty_score":0.01012003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978615929893672,"score_gpt":0.2141989023637669,"score_spread":0.1944127430648302,"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."}}