{"id":"W3173618562","doi":"10.18280/ejee.230308","title":"Evolutionary Metaheuristic Methods Applied to Minimize the THD in Inverters: A Systematic Review","year":2021,"lang":"en","type":"review","venue":"European Journal of Electrical Engineering","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metaheuristic; Computer science; Evolutionary computation; Evolutionary algorithm; Total harmonic distortion; Network topology; Parallel metaheuristic; Mathematical optimization; Machine learning; Artificial intelligence; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002322471,0.0005981888,0.003504004,0.0005477882,0.00002945584,0.00006774939,0.0009707946,0.00008178012,0.00002587342],"category_scores_gemma":[0.0009778381,0.0003964656,0.0008440076,0.001438066,0.00001394724,0.00007126571,0.00009308945,0.001319596,0.00005434668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003878997,"about_ca_system_score_gemma":0.0001042394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.867459e-7,"about_ca_topic_score_gemma":4.964e-8,"domain_scores_codex":[0.9955789,0.001042789,0.002255274,0.0002650597,0.0003795011,0.000478474],"domain_scores_gemma":[0.9978933,0.0009100155,0.0003568431,0.0005047708,0.00007935899,0.0002557231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002396961,0.00002478391,4.857294e-8,0.4274895,0.0008499271,0.0004902715,0.00008355547,0.002761221,0.000008195382,0.00007261267,0.002838332,0.5653791],"study_design_scores_gemma":[0.0003346206,0.00005946687,0.000004202394,0.6785673,0.004146617,0.001308343,0.00001835404,0.09248438,0.000002397244,0.000002615103,0.2221025,0.0009691038],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.286163e-8,0.7512339,0.2474722,0.00002005994,0.000367846,0.0006255431,0.000002325881,0.00004192761,0.0002361337],"genre_scores_gemma":[0.00002710958,0.9859576,0.01331658,0.0002543626,0.0001801358,0.00006435088,0.000004507141,0.0001685596,0.00002682168],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.56441,"threshold_uncertainty_score":0.9998487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182776921088754,"score_gpt":0.2919063571090068,"score_spread":0.2600785878981192,"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."}}