{"id":"W4226377161","doi":"10.1109/ted.2022.3157569","title":"p-GaN Gate HEMTs With 10.6 V Maximum Gate Drive Voltages by Mg Doping Engineering","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Electron Devices","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Shenzhen Municipal Science and Technology Innovation Council; Guangdong Science and Technology Department","keywords":"Materials science; Optoelectronics; Breakdown voltage; Gallium nitride; Metalorganic vapour phase epitaxy; High-electron-mobility transistor; Time-dependent gate oxide breakdown; Doping; Schottky barrier; Threshold voltage; Gate oxide; Metal gate; Schottky diode; Chemical vapor deposition; Voltage; Electrical engineering; Transistor; Layer (electronics); Nanotechnology; Diode","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":[0.00005032336,0.0002670677,0.0001849183,0.00009981242,0.0001174374,0.0002573723,0.0004180944,0.000277281,0.0006881131],"category_scores_gemma":[0.00008194714,0.0001028818,0.0001481218,0.0001316741,0.0001269043,0.0002786062,0.0001979902,0.0002746099,0.0004010363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002503648,"about_ca_system_score_gemma":0.00009424201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003734026,"about_ca_topic_score_gemma":0.0008171947,"domain_scores_codex":[0.9999424,0.000003284543,0.000002655284,0.00001413545,0.00002309472,0.00001435548],"domain_scores_gemma":[0.9999582,0.000005116975,0.00001316866,0.000005351611,0.000009811058,0.000008470858],"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":[0.00003039402,0.0000131575,0.0002502607,0.00002425296,0.000005326516,0.00009569025,0.00001289192,0.0002639328,0.9963366,0.0001431833,0.0001735551,0.002650743],"study_design_scores_gemma":[0.00001530518,0.0002800272,0.002653849,0.000005149674,0.00001223593,0.0003317819,0.00001400864,0.004191269,0.9900283,0.0001663514,0.002296022,0.000005683055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893293,0.0004669647,0.005571195,0.0001204087,0.00003054157,0.00001718816,0.0001767863,0.0003115719,0.003976041],"genre_scores_gemma":[0.99302,0.0001983998,0.005106215,0.00003299541,0.00001470166,0.00002041145,0.0001165835,0.00003425337,0.00145636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006881131,"threshold_uncertainty_score":0.002301931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005658677762146294,"score_gpt":0.2076509634686049,"score_spread":0.2019922857064586,"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."}}