{"id":"W4310969367","doi":"10.1109/iecon49645.2022.9968827","title":"An Optimized GaN-Based DAB Converter for More Electric Aircraft","year":2022,"lang":"en","type":"article","venue":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Gallium nitride; Voltage; Electronic engineering; Modulation (music); Backflow; Materials science; Inductor; Power (physics); Boost converter; Computer science; Engineering; Electrical engineering; Physics","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":[0.0006546381,0.0004579481,0.0006350933,0.00009280675,0.0004542456,0.00006117306,0.001370418,0.0003051919,0.0003244765],"category_scores_gemma":[0.00008556769,0.0004492665,0.0006080029,0.0007138762,0.0001560987,0.0003389463,0.00005779793,0.001635501,0.00000264672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008937232,"about_ca_system_score_gemma":0.001547076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004190721,"about_ca_topic_score_gemma":0.00001332405,"domain_scores_codex":[0.9969743,0.0001882557,0.0006421776,0.00054271,0.0006201029,0.001032493],"domain_scores_gemma":[0.9982271,0.0002313232,0.0002831871,0.0007858815,0.0002958457,0.0001766558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001629248,0.0007055138,0.0001876052,0.0001991152,0.001218073,0.000005450276,0.005133943,0.6160929,0.1662938,0.0009430599,0.08604901,0.1215423],"study_design_scores_gemma":[0.005761171,0.0007839598,0.000009995598,0.00001535458,0.0001347061,0.00000661792,0.001422314,0.9235107,0.05236971,0.0003972173,0.01497504,0.0006131877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5426221,0.001792648,0.4269106,0.004381221,0.0109852,0.007699857,0.00362404,0.001587688,0.0003965791],"genre_scores_gemma":[0.9977306,0.00006310515,0.0003978568,0.0006062649,0.0002638214,0.0004258019,0.0001092623,0.0001123374,0.0002910008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4551084,"threshold_uncertainty_score":0.9997959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191326832717589,"score_gpt":0.2424216987458402,"score_spread":0.2205084304186644,"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."}}