{"id":"W3136319226","doi":"10.1109/tpel.2021.3066993","title":"General Bi-Tri Logic SPWM for Current Source Converter With Optimized Zero-State Replacement","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Converters; Computer science; Electronic engineering; Pulse-width modulation; Logic gate; Minification; State (computer science); Translation (biology); Topology (electrical circuits); Voltage; Algorithm; Control theory (sociology); Engineering; Electrical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008622954,0.0003379804,0.000319373,0.0001057212,0.0001332964,0.00006914439,0.0001450508,0.00008754473,0.0002604761],"category_scores_gemma":[0.000001187497,0.000312233,0.0001979842,0.000195455,0.00003719293,0.0001144128,0.000001257633,0.000387674,0.00003587542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947286,"about_ca_system_score_gemma":0.0001446751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006315867,"about_ca_topic_score_gemma":0.00003348374,"domain_scores_codex":[0.9983564,0.00003285861,0.0003100418,0.0004163973,0.0002251424,0.0006591499],"domain_scores_gemma":[0.9992549,0.00004902257,0.00004275835,0.0004079438,0.0001062471,0.000139068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001509525,0.0006718852,0.00001005511,0.0002301502,0.001279031,0.00002470074,0.001279381,0.7323684,0.01563267,0.0002485506,0.009103155,0.2376425],"study_design_scores_gemma":[0.003884043,0.000474729,0.000003799717,0.00004908508,0.0001351226,0.00003403969,0.00004815678,0.8271204,0.1148072,0.0001166551,0.05275284,0.0005739104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01135166,0.0006926924,0.9859037,0.0001517651,0.001002686,0.0004375615,0.00005435292,0.0002661218,0.0001394468],"genre_scores_gemma":[0.9908296,0.0009686894,0.004440376,0.0005958962,0.00002850583,0.0002983386,0.00003290239,0.0001280909,0.002677571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9814633,"threshold_uncertainty_score":0.999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223525092168514,"score_gpt":0.2287274151597527,"score_spread":0.2164921642380676,"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."}}