{"id":"W4408281538","doi":"10.1109/iecon55916.2024.10906010","title":"A Multilevel Step-Up DC-DC Converter for Interfacing Offshore Wind Turbines with DC grids","year":2024,"lang":"en","type":"article","venue":"","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Interfacing; Offshore wind power; Converters; Wind power; Flyback converter; Power optimizer; Forward converter; Electrical engineering; Computer science; Boost converter; Engineering; Voltage; Inverter; Computer hardware; Maximum power point tracking","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005771342,0.0001938938,0.0002211054,0.0002247311,0.0002359279,0.0003968443,0.0004036208,0.0002346393,0.0035797],"category_scores_gemma":[0.00008804613,0.0001018396,0.0001553495,0.0003555354,0.00008270519,0.0003297284,0.0001674074,0.0004418902,0.0008585246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387489,"about_ca_system_score_gemma":0.0001206918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003163093,"about_ca_topic_score_gemma":0.0007336952,"domain_scores_codex":[0.9999175,0.000008167576,0.000003847141,0.0000124332,0.00005158337,0.000006459286],"domain_scores_gemma":[0.9999633,0.000004155992,0.00000431347,0.000006425415,0.00001764663,0.000004206405],"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":[0.0001467393,0.0001011392,0.0008107504,0.0005781785,0.00004414239,0.0004951988,0.0000805626,0.006659574,0.7135166,0.006800618,0.004572222,0.2661943],"study_design_scores_gemma":[0.0001916507,0.001970432,0.009360395,0.0002083814,0.0001556314,0.004266346,0.0001969796,0.1902877,0.6259878,0.00794996,0.1593468,0.00007786776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1631314,0.002354658,0.7733234,0.0005932157,0.0002343685,0.0003414181,0.0006602745,0.00303704,0.05632418],"genre_scores_gemma":[0.8864567,0.0009772788,0.09994796,0.000157896,0.00006201592,0.0001012599,0.000315511,0.00006081155,0.01192057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0035797,"threshold_uncertainty_score":0.01197529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01541562620314359,"score_gpt":0.2334747120459205,"score_spread":0.2180590858427769,"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."}}