{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001077926,0.000195368,0.0001962728,0.00009841795,0.00004470037,0.0001180712,0.00007077205,0.0001043514,0.0001041371],"category_scores_gemma":[0.000007904799,0.0001382159,0.00006577143,0.0001092749,0.0000162676,0.0001613683,0.00002162931,0.0001622202,0.00007318507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006517026,"about_ca_system_score_gemma":0.0000158484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001214332,"about_ca_topic_score_gemma":0.0001261864,"domain_scores_codex":[0.9991952,0.00000847404,0.0002208587,0.000233468,0.0001066425,0.0002353596],"domain_scores_gemma":[0.9996883,0.00003947206,0.00001288964,0.0001526682,0.00004848114,0.0000581368],"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":[0.0002991133,0.00006519301,0.0009043947,0.008363762,0.001419149,0.00005965082,0.01084171,0.006342154,0.1495209,0.002460445,0.04961265,0.7701109],"study_design_scores_gemma":[0.0006881438,0.0001490849,0.0002542817,0.0005627307,0.00003661664,0.00005823961,0.0006396007,0.9299455,0.01972766,0.00003579564,0.04755884,0.0003435448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1877071,0.0004354924,0.8053097,0.00009391644,0.0023417,0.0008680629,0.00003471654,0.0009574305,0.002251909],"genre_scores_gemma":[0.9923033,0.000003751474,0.001436364,0.00002361823,0.0003445907,0.0001039512,0.00000811565,0.00006256314,0.005713706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9236033,"threshold_uncertainty_score":0.5636282,"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."}}