{"id":"W3040133622","doi":"10.1109/tte.2020.3006045","title":"Power Electronic Converters in Electric Aircraft: Current Status, Challenges, and Emerging Technologies","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Electrification; Power electronics; Aviation; Converters; Electronics; Engineering; Emerging technologies; Electric power system; Telecommunications; Electrical engineering; Systems engineering; Power (physics); Electricity; Computer science; Aerospace engineering","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":[0.0005089845,0.000383387,0.0003342662,0.001152203,0.0002622596,0.001491254,0.000516242,0.0008964963,0.002910346],"category_scores_gemma":[0.0005457586,0.0002679139,0.000206779,0.001732301,0.0005236773,0.003212872,0.0004002843,0.001095749,0.001256525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003841443,"about_ca_system_score_gemma":0.0004484746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965359,"about_ca_topic_score_gemma":0.00063562,"domain_scores_codex":[0.9997529,0.0000369526,0.00002321844,0.00003955481,0.0001292611,0.00001801012],"domain_scores_gemma":[0.9995881,0.0002148878,0.0000354369,0.00001635815,0.0001276073,0.00001767675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006932462,0.0001220748,0.001113697,0.004696652,0.00002428761,0.0003231286,0.0002257121,0.003491898,0.01037119,0.04559442,0.01178809,0.9221796],"study_design_scores_gemma":[0.00001374114,0.0005045949,0.002524156,0.003576952,0.00007181448,0.002624423,0.000915988,0.009717931,0.009469443,0.04785793,0.9226513,0.0000717767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005594059,0.9609511,0.0097557,0.002009821,0.0005000082,0.000014784,0.00003046715,0.00007841564,0.02106572],"genre_scores_gemma":[0.03926542,0.9448323,0.006329622,0.0004909624,0.0008334036,0.0000121428,0.00007629187,0.00001910031,0.008140587],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002910346,"threshold_uncertainty_score":0.009736061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565153268338883,"score_gpt":0.2213136375514522,"score_spread":0.2056621048680633,"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."}}