{"id":"W4380303595","doi":"10.1109/tie.2023.3283700","title":"An Improved Current-Source-Converter-Based Series-Connected Wind Energy Conversion System","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; University of Alberta","funders":"","keywords":"Current (fluid); Wind power; Series (stratigraphy); Current source; Computer science; Electrical engineering; Electronic engineering; Engineering","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":[0.0001649617,0.0004406113,0.0003963131,0.0004420065,0.0002759453,0.00009978777,0.0003452584,0.000442091,0.000132331],"category_scores_gemma":[0.000002956037,0.0004787038,0.0002109773,0.0008683466,0.00005902972,0.0003375475,0.000001332426,0.0008180005,0.0001155272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006150415,"about_ca_system_score_gemma":0.0002573166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001419555,"about_ca_topic_score_gemma":0.00007233865,"domain_scores_codex":[0.9978194,0.0001155927,0.0004524429,0.000469651,0.000301799,0.0008411012],"domain_scores_gemma":[0.9989706,0.0000855337,0.00007067885,0.0005259776,0.00007030565,0.0002769621],"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":[0.0008329912,0.0002252608,0.0000157044,0.0001808751,0.0003719334,0.00001883413,0.0002832626,0.2059013,0.04533342,0.0001145832,0.003563544,0.7431583],"study_design_scores_gemma":[0.002494348,0.0004483512,0.000003618477,0.00007426841,0.00008707627,0.000007485434,0.0001774571,0.8747233,0.1077592,0.000004550583,0.01374735,0.0004729817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1067017,0.00008402018,0.8809445,0.0001002431,0.00749241,0.0005767378,0.0001707925,0.00382857,0.0001010359],"genre_scores_gemma":[0.9991221,0.00008349392,0.00001628842,0.000065418,0.0002442882,0.00007600468,0.00008825328,0.0001212134,0.0001829094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8924204,"threshold_uncertainty_score":0.9997665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023218235659876,"score_gpt":0.2167974207769331,"score_spread":0.1965652384203343,"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."}}