{"id":"W2217983199","doi":"10.1109/vppc.2015.7352955","title":"Gallium Nitride Semiconductors in Power Electronics for Electric Vehicles: Advantages and Challenges","year":2015,"lang":"en","type":"article","venue":"","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Gallium nitride; Capacitor; Materials science; Power semiconductor device; Automotive industry; Converters; Power electronics; Semiconductor; Switching time; Electrical engineering; Inductor; Nanosecond; Wide-bandgap semiconductor; Electronics; Optoelectronics; Nanotechnology; Engineering; Voltage; Laser","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":[0.0002965425,0.0001942476,0.0002796577,0.0001087115,0.00003286992,0.00004908678,0.0001195795,0.00005776155,0.00007519686],"category_scores_gemma":[0.00001305298,0.0001687967,0.0000493853,0.00009595688,0.00001823144,0.0002365267,0.000029037,0.0001005372,0.000009182518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003826533,"about_ca_system_score_gemma":0.0001144008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001314013,"about_ca_topic_score_gemma":0.00003210719,"domain_scores_codex":[0.998884,0.00003734164,0.0002460944,0.00030792,0.00009541389,0.0004292755],"domain_scores_gemma":[0.9994625,0.0000890272,0.0000796441,0.0001639966,0.00007417944,0.0001306244],"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":[0.0001956506,0.0003440201,0.02628395,0.0001575296,0.000144805,0.00000296624,0.001644503,0.00003455549,0.8838096,0.07729892,0.002313176,0.00777033],"study_design_scores_gemma":[0.006750933,0.001120445,0.002516887,0.00008732932,0.0001053507,0.000007512873,0.01141759,0.0004050574,0.7749054,0.06173752,0.1394744,0.001471611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920507,0.004889789,0.00004407168,0.0003053821,0.0001408432,0.000351774,0.00001875896,0.00003651475,0.002162145],"genre_scores_gemma":[0.998818,0.0003731114,0.0002027528,0.00008282528,0.0001400932,0.00005654394,0.00002290401,0.0000292439,0.000274465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1371612,"threshold_uncertainty_score":0.6883329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03140051685679336,"score_gpt":0.267046837470313,"score_spread":0.2356463206135196,"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."}}