{"id":"W2006229489","doi":"10.1049/iet-pel.2012.0620","title":"Fast space vector modulation algorithm for multilevel inverters and its extension for operation of the cascaded H‐bridge inverter with non‐constant DC sources","year":2013,"lang":"en","type":"article","venue":"IET Power Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"H bridge; Extension (predicate logic); Modulation (music); Inverter; Space vector; Topology (electrical circuits); Constant (computer programming); Space vector modulation; Bridge (graph theory); Control theory (sociology); Algorithm; Space (punctuation); Computer science; Electronic engineering; Mathematics; Electrical engineering; Physics; Engineering; Voltage; Acoustics; Artificial intelligence","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":[0.0000926415,0.0002557285,0.0002620268,0.00006602797,0.0001178939,0.00005834003,0.00014435,0.0001262523,0.00001337138],"category_scores_gemma":[0.00001149327,0.0001846164,0.00008484934,0.00008479186,0.00005167231,0.0003168742,0.00002445364,0.0001367916,0.000002991938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013619,"about_ca_system_score_gemma":0.00005722488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004794699,"about_ca_topic_score_gemma":0.00005678543,"domain_scores_codex":[0.998861,0.00001804225,0.0002654706,0.0002832454,0.00016693,0.0004053286],"domain_scores_gemma":[0.999379,0.00005695312,0.00008312713,0.0002298535,0.0001736703,0.00007742186],"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":[0.0001932732,0.0001411459,0.0006363069,0.000484645,0.0005908314,0.000001100108,0.007784151,0.01329779,0.5515401,0.001126192,0.009336712,0.4148678],"study_design_scores_gemma":[0.001339939,0.0001902605,0.003914,0.00005638941,0.00004272523,0.00000765789,0.0001186831,0.9448609,0.04878566,0.00008400119,0.000346516,0.0002532148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4212399,0.0002897831,0.5758767,0.0003066829,0.0002868113,0.001846355,0.00006298245,0.0000639501,0.00002684326],"genre_scores_gemma":[0.9970812,0.00004318242,0.002183059,0.0002374317,0.0000348624,0.0002269019,0.00002309188,0.00006022286,0.0001100516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9315631,"threshold_uncertainty_score":0.7528437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009938903093116135,"score_gpt":0.2027503803637133,"score_spread":0.1928114772705972,"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."}}