{"id":"W2097058694","doi":"10.1016/j.sse.2010.03.017","title":"Large-signal model for AlGaN/GaN HEMTs suitable for RF switching-mode power amplifiers design","year":2010,"lang":"en","type":"article","venue":"Solid-State Electronics","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; University of Calgary","funders":"","keywords":"High-electron-mobility transistor; Amplifier; Large-signal model; RF power amplifier; Transistor; Power (physics); Electronic engineering; Mode (computer interface); SIGNAL (programming language); Computer science; Gallium nitride; Materials science; Electrical engineering; Engineering; Bandwidth (computing); Physics; Voltage; Telecommunications; Layer (electronics)","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":[0.0001651119,0.0006412019,0.0003969101,0.0002512867,0.0002710683,0.0006782774,0.001148081,0.000986113,0.005169357],"category_scores_gemma":[0.0004114439,0.0002044248,0.0004808208,0.000243941,0.0002305028,0.0008760814,0.0002228048,0.0005894612,0.001489186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006192449,"about_ca_system_score_gemma":0.0002824643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001552001,"about_ca_topic_score_gemma":0.002639446,"domain_scores_codex":[0.9999137,0.0000215567,0.000002946582,0.00001481803,0.00003685211,0.00001012671],"domain_scores_gemma":[0.9999067,0.00003327668,0.00001191866,0.00001285875,0.00002892096,0.000006369241],"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":[0.0002084905,0.000132817,0.0005187101,0.0003314296,0.00009902682,0.000531021,0.0002151886,0.6482279,0.2116404,0.110797,0.005263976,0.0220341],"study_design_scores_gemma":[0.000008208836,0.00003719377,0.0001083218,0.000006269897,0.00001097553,0.00004817879,0.0000100642,0.9904266,0.003591929,0.003656775,0.002090656,0.000004820271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07015642,0.0009741756,0.85431,0.0009695858,0.0001946843,0.0002314998,0.0007245374,0.001180936,0.07125808],"genre_scores_gemma":[0.9063089,0.0009003594,0.05452156,0.0003389389,0.0001624576,0.0002905292,0.0005972062,0.0004694095,0.03641052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005169357,"threshold_uncertainty_score":0.01729321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613574533030851,"score_gpt":0.2896510784715701,"score_spread":0.2735153331412616,"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."}}