{"id":"W3209535014","doi":"10.1109/ojies.2021.3124732","title":"Design Optimization Methodology for Planar Transformers for More Electric Aircraft","year":2021,"lang":"en","type":"article","venue":"IEEE Open Journal of the Industrial Electronics Society","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Mitacs","keywords":"Transformer; Electromagnetic coil; Converters; Electronic engineering; Flyback transformer; Forward converter; Flyback converter; Inductance; Transformer types; Capacitance; Energy efficient transformer; Engineering; Electrical engineering; Topology (electrical circuits); Boost converter; Voltage; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001466051,0.0001997505,0.0004501799,0.00003563776,0.0001933293,0.00007199075,0.0006356681,0.0003100364,0.00001157264],"category_scores_gemma":[0.0002537374,0.000167619,0.0005013006,0.0004123969,0.00003248946,0.0003281716,0.00001514741,0.0007269336,2.249643e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006103628,"about_ca_system_score_gemma":0.001081774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001851992,"about_ca_topic_score_gemma":0.000003622384,"domain_scores_codex":[0.9984303,0.0001698829,0.0005319251,0.0001657751,0.000190632,0.0005115356],"domain_scores_gemma":[0.9984732,0.0007850989,0.0002412384,0.0001500384,0.0002648956,0.00008550163],"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":[0.000465351,0.00003137914,0.000002733578,0.00002384257,0.0007718785,0.000001598892,0.0003845521,0.8612869,0.05242402,0.00008591316,0.02141568,0.06310614],"study_design_scores_gemma":[0.006478766,0.0005628751,8.002716e-7,0.00005409559,0.0004376501,0.0001616418,0.0003856176,0.7602978,0.2130692,0.002115084,0.01609036,0.0003461487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007745703,0.000808715,0.9943413,0.001678467,0.00133624,0.00101448,0.00001458226,0.00001903686,0.0000126531],"genre_scores_gemma":[0.05944819,0.003459712,0.9324675,0.001405516,0.002012801,0.0002350181,0.00003086683,0.0003095335,0.0006308278],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1606452,"threshold_uncertainty_score":0.6835303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089636712596995,"score_gpt":0.3143890877984503,"score_spread":0.2054254165387508,"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."}}