{"id":"W2916300659","doi":"10.1109/jestpe.2019.2900281","title":"A Modular SiC-Based Step-Up Converter With Soft-Switching-Assisted Networks and Internally Coupled High-Voltage-Gain Modules for Wind Energy System With a Medium-Voltage DC-Grid","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformer; Converters; Electrical engineering; Voltage; Electronic circuit; Forward converter; Electronic engineering; High voltage; Silicon carbide; Boost converter; Materials science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008212206,0.0003104797,0.0003296627,0.0002486686,0.0001910424,0.0003405168,0.000803945,0.0002224079,0.001748855],"category_scores_gemma":[0.00007255241,0.0001292934,0.0003260852,0.0002768399,0.0001283647,0.000477468,0.0002251554,0.000373039,0.00056837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002054648,"about_ca_system_score_gemma":0.0002286381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004281235,"about_ca_topic_score_gemma":0.001153938,"domain_scores_codex":[0.9998875,0.00000904324,0.000005610461,0.00002158316,0.00006519497,0.0000110564],"domain_scores_gemma":[0.9999474,0.000004603092,0.00000727519,0.00001095891,0.00002440054,0.000005351696],"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":[0.0002743615,0.0001368135,0.001569726,0.0005364976,0.0001047983,0.0004556358,0.00009002918,0.01736617,0.7541593,0.006363092,0.003107907,0.2158356],"study_design_scores_gemma":[0.0001613065,0.001263042,0.008190572,0.00006506633,0.0002661855,0.002474405,0.00008423019,0.4038408,0.5501923,0.002651757,0.03073092,0.00007943307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2745362,0.001429032,0.6936895,0.0001570517,0.0002165631,0.0001953228,0.0001980726,0.002771909,0.0268063],"genre_scores_gemma":[0.9367941,0.000258972,0.05898442,0.00009609502,0.00003292815,0.00004173387,0.0001587741,0.00003987012,0.00359314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001748855,"threshold_uncertainty_score":0.005850494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003137274999301321,"score_gpt":0.1873208657364583,"score_spread":0.184183590737157,"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."}}