{"id":"W2169686800","doi":"10.1109/apec.2010.5433511","title":"Reducing losses in multilevel coupled inductor inverters using interleaved discontinuous SVPWM","year":2010,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inductor; Ripple; Control theory (sociology); Inverter; Pulse-width modulation; Power (physics); Voltage; Position (finance); Current (fluid); Topology (electrical circuits); Inductance; Computer science; Electronic engineering; Engineering; Electrical engineering; Physics","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":[0.0001967227,0.0003817871,0.00038832,0.0003031708,0.0001922343,0.0004249059,0.0006754932,0.0002179212,0.0007869198],"category_scores_gemma":[0.0005063417,0.0001448946,0.000213467,0.0003568197,0.0002135857,0.0006764412,0.0003166759,0.0003150249,0.0001518531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626434,"about_ca_system_score_gemma":0.0001114204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004150184,"about_ca_topic_score_gemma":0.0005499065,"domain_scores_codex":[0.9998074,0.00003524966,0.00001014301,0.00001713443,0.0001135796,0.00001649368],"domain_scores_gemma":[0.9998492,0.0000509831,0.00003473246,0.00002090691,0.00003675388,0.000007451105],"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":[0.0007739802,0.0002493082,0.003300708,0.0005980165,0.0001337576,0.0004214955,0.0006039781,0.1573209,0.332087,0.01708833,0.001511138,0.4859113],"study_design_scores_gemma":[0.0001009841,0.0008562133,0.002715866,0.00004411312,0.0001123912,0.0003266718,0.000108376,0.8604622,0.1197659,0.008995936,0.006487163,0.00002414094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3063556,0.0005425899,0.6877258,0.00008374311,0.00002628644,0.00004628458,0.00003899891,0.0005610455,0.00461959],"genre_scores_gemma":[0.949568,0.0001891502,0.04907381,0.00001858934,0.00001282351,0.00002332935,0.00004314968,0.00004071471,0.00103046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007869198,"threshold_uncertainty_score":0.002632558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086041600332768,"score_gpt":0.2352055755922382,"score_spread":0.2143451595889105,"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."}}