{"id":"W2100834322","doi":"10.1109/tpel.2009.2023789","title":"Harmonics Reduction in Current Source Converters Using Fuzzy Logic","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Harmonics; Fuzzy logic; Converters; Support vector machine; Reduction (mathematics); Topology (electrical circuits); State (computer science); Space vector modulation; Algorithm; Computer science; Electronic engineering; Electrical engineering; Mathematics; Artificial intelligence; Engineering; Voltage; Inverter","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":[0.00008956152,0.0002805085,0.0002342301,0.0002716831,0.00009162797,0.00004114101,0.000161878,0.0001353337,0.00006048102],"category_scores_gemma":[7.978039e-7,0.0003118123,0.0001330711,0.0003454377,0.00003241721,0.0002096715,4.675897e-7,0.0006857319,0.00003860854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000639254,"about_ca_system_score_gemma":0.000064001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001224056,"about_ca_topic_score_gemma":0.00001298059,"domain_scores_codex":[0.9985745,0.00003113268,0.000317968,0.000295853,0.000194491,0.0005860551],"domain_scores_gemma":[0.9995512,0.00001315148,0.00003514859,0.0002710938,0.00002830691,0.0001011258],"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":[0.00008910136,0.0003203825,0.000005655171,0.0000309983,0.00006987209,0.000006793203,0.001152555,0.4299758,0.0312428,0.0001739599,0.0004347274,0.5364974],"study_design_scores_gemma":[0.0009455843,0.0002213443,0.0000494899,0.00006700582,0.0000471716,0.00004491568,0.0001382802,0.9655159,0.02850437,0.0005464879,0.003385874,0.0005335744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09486195,0.001044037,0.9015153,0.0001224648,0.001597891,0.0002513651,0.000006377379,0.0003316581,0.0002689474],"genre_scores_gemma":[0.9987642,0.0006940422,0.000223197,0.0001928275,0.00002059161,0.00001189816,0.00000272709,0.00003945488,0.00005113313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9039022,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875066415659552,"score_gpt":0.244897502956848,"score_spread":0.2261468388002525,"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."}}