{"id":"W4288029445","doi":"","title":"Scalable small signal modeling of AlGaN/GaN HEMT based on distributed gate resistance","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"High-electron-mobility transistor; Scalability; Materials science; Optoelectronics; Wide-bandgap semiconductor; Gallium nitride; SIGNAL (programming language); Electronic engineering; Computer science; Electrical engineering; Transistor; Engineering; Nanotechnology; Layer (electronics); 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":[0.0001033355,0.0005443811,0.0004179189,0.0001624897,0.000235232,0.0006046863,0.0009936828,0.0008234936,0.002419665],"category_scores_gemma":[0.0003081003,0.0002269131,0.000497036,0.0001995434,0.0002530697,0.0006343639,0.0001881801,0.0003729498,0.0004091033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009217146,"about_ca_system_score_gemma":0.0003937212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006116302,"about_ca_topic_score_gemma":0.006580108,"domain_scores_codex":[0.9999298,0.00001315317,0.000002043776,0.00001737329,0.00002691664,0.00001069537],"domain_scores_gemma":[0.9998655,0.00006157736,0.00001787218,0.00001702965,0.00002761666,0.00001035396],"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":[0.00006862049,0.00004563831,0.0004274357,0.00007258482,0.00003984511,0.0001776136,0.00004988958,0.9388761,0.05262521,0.003302707,0.0006444749,0.003669905],"study_design_scores_gemma":[0.000002275695,0.00001145637,0.0001029131,0.000001518463,0.000003084988,0.000007583516,0.000003054046,0.9974762,0.001969617,0.0002585716,0.0001617737,0.000001932476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6806192,0.0009946465,0.258014,0.0008402124,0.0001752173,0.0001251418,0.001064091,0.002425159,0.0557422],"genre_scores_gemma":[0.9877073,0.0001476363,0.005900983,0.00005216936,0.0000203597,0.00002851936,0.0001128447,0.0001126847,0.005917447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006116302,"threshold_uncertainty_score":0.01216137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770850231681724,"score_gpt":0.2206340820515374,"score_spread":0.2029255797347202,"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."}}