{"id":"W3003368087","doi":"10.1109/bcicts45179.2019.8972776","title":"Scalable Small-Signal Modeling of AlGaN/GaN HEMT Based on Distributed Gate Resistance","year":2019,"lang":"en","type":"preprint","venue":"","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"High-electron-mobility transistor; Scalability; Small-signal model; SIGNAL (programming language); Materials science; Optoelectronics; Transistor; Electronic engineering; Gallium nitride; Computer science; Wide-bandgap semiconductor; Large-signal model; Power (physics); Electrical engineering; Engineering; Physics; Layer (electronics); Nanotechnology","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":[0.0001092121,0.0006424204,0.0003437405,0.0001744397,0.0001405829,0.0003677459,0.0007851892,0.0004456606,0.0008291118],"category_scores_gemma":[0.0001863988,0.0001545525,0.0005615454,0.0001561331,0.0001989643,0.0007379298,0.0001820081,0.0003072424,0.0002753686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004933251,"about_ca_system_score_gemma":0.0002604346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635633,"about_ca_topic_score_gemma":0.00176881,"domain_scores_codex":[0.9999019,0.00001705141,0.000003311082,0.00002744367,0.00003970478,0.00001061245],"domain_scores_gemma":[0.9999298,0.00002294547,0.00001057261,0.00001568133,0.00001583554,0.000005111407],"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":[0.00004306352,0.00003539745,0.0004757852,0.0000747807,0.00003397442,0.0002150717,0.00005251965,0.8328735,0.1511383,0.006129737,0.0004574181,0.008470479],"study_design_scores_gemma":[0.000002610034,0.00001800028,0.0001039867,0.000001439407,0.000003618118,0.00001911585,0.00000324934,0.995201,0.003797852,0.0005221369,0.0003247125,0.000002221071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2613721,0.0007629485,0.71735,0.0002629794,0.00006539884,0.0001190311,0.0005550993,0.001391207,0.01812117],"genre_scores_gemma":[0.9649115,0.000378061,0.0307671,0.00003571432,0.00002390684,0.00009442199,0.0002081287,0.00009956947,0.003481498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001635633,"threshold_uncertainty_score":0.003579259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483759872268055,"score_gpt":0.240389146290773,"score_spread":0.2155515475680924,"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."}}