{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002954831,0.0004504459,0.0007663376,0.00009168456,0.00006336416,0.0001160178,0.0004705316,0.0001877372,0.002404277],"category_scores_gemma":[0.000004740148,0.0004050341,0.0003006373,0.0000942663,0.00003499262,0.00004575328,0.0001583518,0.0003622691,0.00005636607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004993737,"about_ca_system_score_gemma":0.0002924883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115726,"about_ca_topic_score_gemma":0.00002573031,"domain_scores_codex":[0.997888,0.00008797827,0.0006587458,0.0006771567,0.0002739219,0.00041422],"domain_scores_gemma":[0.9982613,0.00008057017,0.0004338701,0.0008862404,0.0002202586,0.0001178059],"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":[0.0002060518,0.0002971623,0.001902544,0.0009580265,0.0002009413,0.000002033786,0.00004739869,0.9574234,0.03334685,0.004308067,0.001174807,0.0001326793],"study_design_scores_gemma":[0.001511216,0.00007634431,0.0001477733,0.00150466,0.0001958577,8.673872e-8,0.000154069,0.7296426,0.2568449,0.007967964,0.0008977305,0.001056834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8181643,0.00006997712,0.1477235,0.0001752787,0.000839132,0.0009412139,0.004194503,0.0001057875,0.0277863],"genre_scores_gemma":[0.9952006,0.000001531527,0.001504673,0.00008461144,0.0002214948,0.00004191062,0.001696955,0.0000563924,0.001191856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2277809,"threshold_uncertainty_score":0.9998401,"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."}}