{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001362121,0.0003212089,0.0003549713,0.0002650598,0.00005074288,0.00009752007,0.0003043932,0.000184754,0.0004722717],"category_scores_gemma":[0.00003948227,0.0003026023,0.00009171117,0.0001834111,0.00009230251,0.0004010561,0.00005741409,0.0005609569,0.00003654851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009978024,"about_ca_system_score_gemma":0.00003723903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620481,"about_ca_topic_score_gemma":0.001078135,"domain_scores_codex":[0.9984959,0.00001869862,0.0004584111,0.0003449945,0.0001662924,0.0005156588],"domain_scores_gemma":[0.9993259,0.00005214619,0.00004401545,0.0003820189,0.00003585715,0.0001600694],"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":[0.00002354318,0.00006977016,0.006952787,0.00009176486,0.00007193405,0.00004349469,0.002676394,0.002459158,0.8969638,0.00007328967,0.0005810755,0.08999302],"study_design_scores_gemma":[0.0007855905,0.00001114315,0.006206326,0.00008183357,0.00001210767,0.00001709811,0.0005296844,0.9759144,0.01584346,0.00003300262,0.0001422591,0.0004230958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709771,0.00002063328,0.02561318,0.00004097864,0.001945351,0.0002477344,0.00000721482,0.0002849659,0.0008628147],"genre_scores_gemma":[0.9957142,0.000005862788,0.003700037,0.0001695212,0.0001197853,0.00001839447,0.000007763205,0.00007300365,0.0001914166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9734553,"threshold_uncertainty_score":0.9999426,"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."}}