{"id":"W3174441460","doi":"10.1109/jestpe.2021.3089867","title":"A Multilevel Inverter Topology With an Improved Reliability and a Reduced Number of Components","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Inverter; Topology (electrical circuits); Reliability (semiconductor); Voltage; Component (thermodynamics); MATLAB; Computer science; Electronic engineering; Engineering; Electrical engineering; Power (physics); 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":[0.00009322075,0.0002190898,0.0003401029,0.0004811183,0.0003119798,0.0004261065,0.0005827172,0.0003332832,0.002907087],"category_scores_gemma":[0.000243545,0.0001221871,0.0003747547,0.0006432284,0.0001508209,0.0006911798,0.0002497342,0.0004290023,0.0006529229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003219647,"about_ca_system_score_gemma":0.0002190079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003375111,"about_ca_topic_score_gemma":0.0006479198,"domain_scores_codex":[0.9998815,0.00001393523,0.00001076561,0.00002556723,0.00005584066,0.00001247599],"domain_scores_gemma":[0.9998755,0.0000131425,0.000025478,0.00001759373,0.00005963791,0.000008620191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002320053,0.0001256805,0.002021021,0.001007276,0.0001336756,0.0006866835,0.0001880139,0.02309215,0.5822217,0.03627617,0.007740416,0.3462752],"study_design_scores_gemma":[0.0003384101,0.002627041,0.01136018,0.00025243,0.0005477969,0.006394785,0.0002085846,0.4512258,0.344642,0.04122559,0.1410178,0.0001595927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1052273,0.001319894,0.856236,0.0006825986,0.0002358,0.0001349858,0.0008578296,0.001853846,0.03345185],"genre_scores_gemma":[0.8415981,0.0007727217,0.151429,0.0001520598,0.000132069,0.0001148325,0.000572298,0.00009020335,0.005138831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002907087,"threshold_uncertainty_score":0.009725213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009722240698645943,"score_gpt":0.2447960994389464,"score_spread":0.2350738587403005,"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."}}