{"id":"W4285605754","doi":"10.1016/j.sse.2022.108420","title":"Modeling of forward gate leakage current for normally off pGaN/AlGaN/GaN HEMTs","year":2022,"lang":"en","type":"article","venue":"Solid-State Electronics","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Optoelectronics; Leakage (economics); High-electron-mobility transistor; Electrical engineering; Electronic engineering; Transistor; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004020492,0.0002873343,0.000459449,0.00009727608,0.0003058439,0.00004958322,0.0003854374,0.00002751746,0.0002921491],"category_scores_gemma":[0.000004819125,0.0003029566,0.0002729466,0.0001711906,0.00002575065,0.0001457427,0.0001259414,0.0003063675,0.000007912088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147721,"about_ca_system_score_gemma":0.0004144455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008252588,"about_ca_topic_score_gemma":0.00003566593,"domain_scores_codex":[0.9978478,0.0000688652,0.0005866083,0.0003892171,0.0002770398,0.0008304825],"domain_scores_gemma":[0.9990811,0.00004207113,0.0002749107,0.0003472766,0.0001444531,0.0001101513],"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":[0.0006715821,0.0009162867,0.000481987,0.0005569442,0.0006395026,0.000003370643,0.002808166,0.616203,0.3216438,0.02731542,0.001902062,0.02685789],"study_design_scores_gemma":[0.004791347,0.001091402,0.00001767265,0.00007688789,0.0003597193,0.000005427678,0.00131213,0.4527044,0.3103161,0.05068911,0.1771043,0.001531538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837007,0.001290279,0.01243694,0.00009712384,0.0005954737,0.0006831791,0.000781561,0.00005354689,0.0003612265],"genre_scores_gemma":[0.9984768,0.0000874289,0.0001641684,0.00006237742,0.0001840062,0.000194108,0.000482771,0.00007242277,0.0002759421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1752022,"threshold_uncertainty_score":0.9999422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453445824587669,"score_gpt":0.2737827176893747,"score_spread":0.259248259443498,"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."}}