{"id":"W3207265452","doi":"10.4271/14-11-01-0010","title":"A Comprehensive Analytical Switching Transients and Loss Modeling Approach with Accurate Parasitic Parameters for Enhancement-Mode Gallium Nitride Transistors","year":2021,"lang":"en","type":"article","venue":"SAE International Journal of Electrified Vehicles","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of Windsor","funders":"","keywords":"Gallium nitride; Materials science; Optoelectronics; Transistor; Mode (computer interface); Nitride; Electronic engineering; Computer science; Electrical engineering; Nanotechnology; Engineering; Voltage","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":[0.0002038864,0.0007024646,0.000457146,0.0004700694,0.000358652,0.0006355624,0.0009255114,0.0006552609,0.001127918],"category_scores_gemma":[0.000336574,0.0003145573,0.0009265782,0.0003682126,0.0002466847,0.001110305,0.0002920417,0.0004993334,0.0005340992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007851487,"about_ca_system_score_gemma":0.0006215018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003172607,"about_ca_topic_score_gemma":0.003769145,"domain_scores_codex":[0.9998688,0.00002635739,0.000006384994,0.00002320771,0.00006069335,0.00001453332],"domain_scores_gemma":[0.9999331,0.00001826243,0.000009804573,0.00001153442,0.00002461308,0.00000276079],"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":[0.00004248443,0.00005749635,0.0005491132,0.0001595253,0.00004106129,0.0003114428,0.0002323363,0.8957508,0.04816186,0.01870742,0.00159768,0.03438882],"study_design_scores_gemma":[0.000001762606,0.00002096583,0.00007285957,0.000009845408,0.000009403248,0.00005643601,0.00001221825,0.9945409,0.002197108,0.001293356,0.001779539,0.00000569476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03780216,0.001565895,0.9420316,0.0002606953,0.00007654835,0.00009901464,0.0002104653,0.0008724293,0.01708117],"genre_scores_gemma":[0.8729891,0.003069657,0.1025728,0.0001482262,0.00008365098,0.0002857865,0.0003404178,0.0002435691,0.0202668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003172607,"threshold_uncertainty_score":0.006308258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104575094762211,"score_gpt":0.2846292232439144,"score_spread":0.2535834722962923,"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."}}