{"id":"W4223511750","doi":"10.15251/jor.2022.182.159","title":"Electrical characterization of AlGaN/GaN/Si high electron mobility transistors","year":2022,"lang":"en","type":"article","venue":"Journal of Ovonic Research","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"High-electron-mobility transistor; Materials science; Optoelectronics; Transistor; Characterization (materials science); Current (fluid); Voltage; Wide-bandgap semiconductor; Electrical engineering; Nanotechnology; Engineering","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":[0.0001230283,0.0002032577,0.000140488,0.0002719352,0.0001541041,0.0002758682,0.0002139322,0.0002564459,0.001450454],"category_scores_gemma":[0.0002730739,0.00007728277,0.00008998112,0.0002789603,0.0001586569,0.0002119096,0.00007163434,0.0001854647,0.0001774331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877357,"about_ca_system_score_gemma":0.0001086573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006379629,"about_ca_topic_score_gemma":0.001106292,"domain_scores_codex":[0.9999065,0.000007478528,0.000007189966,0.00002346273,0.00003770587,0.00001774918],"domain_scores_gemma":[0.9997993,0.0000733698,0.00002892191,0.00002369187,0.00005796821,0.0000167219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004204677,0.00002051679,0.0009513792,0.00003827657,0.000007498789,0.0001310143,0.00005593016,0.0002778233,0.995975,0.00009888443,0.00008770807,0.002313961],"study_design_scores_gemma":[0.00001474399,0.0005771006,0.05428335,0.00001653913,0.00002635051,0.0006264236,0.0001364524,0.007329272,0.9342328,0.0002106486,0.002530182,0.00001615371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945869,0.0004236958,0.002676587,0.00006782304,0.00002043115,0.00002301337,0.0006077689,0.00007006487,0.001523662],"genre_scores_gemma":[0.9962502,0.0002495738,0.001633813,0.0000325225,0.0000102525,0.00002115222,0.00028225,0.00001279786,0.001507423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001450454,"threshold_uncertainty_score":0.004852235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251706445177101,"score_gpt":0.3265614585660725,"score_spread":0.2940443941143016,"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."}}