{"id":"W4317383119","doi":"10.1109/tocs56154.2022.10015955","title":"Advances of Gate Stack Technology in MOSFETs","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Stack (abstract data type); MOSFET; Electronic engineering; Channel (broadcasting); Electrical engineering; Logic gate; Drain-induced barrier lowering; Diode; Threshold voltage; Materials science; Computer science; Optoelectronics; Engineering; Voltage; Transistor","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":[],"consensus_categories":[],"category_scores_codex":[0.0003738638,0.0001169584,0.0001987609,0.000369819,0.000227447,0.0000748054,0.001064266,0.00003056552,0.00005019789],"category_scores_gemma":[0.0000095021,0.0001220746,0.00001663898,0.0008077823,0.0002867513,0.000214506,0.0003751654,0.0002354766,0.00000307265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005010926,"about_ca_system_score_gemma":0.00007688419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000121974,"about_ca_topic_score_gemma":0.00001498577,"domain_scores_codex":[0.9990104,0.0000402396,0.0002935629,0.0002248642,0.0002083575,0.0002225216],"domain_scores_gemma":[0.9991146,0.00005399704,0.00007934583,0.000635007,0.00007224031,0.00004478304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003373708,0.0005498135,0.00314863,0.0002230601,0.0000384937,0.000009701619,0.002885042,0.2009899,0.3350467,0.3122093,0.0002760117,0.1445896],"study_design_scores_gemma":[0.0004757846,0.0003932256,0.001919077,0.00007623981,0.000007305611,0.00002032722,0.001065403,0.9491686,0.03150561,0.01320372,0.001716882,0.0004478436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955242,0.001000008,0.001134843,0.0003528481,0.0004131209,0.0001860587,0.0000189002,0.00008611211,0.001283924],"genre_scores_gemma":[0.991131,0.00254242,0.006170782,0.00005556632,0.00001115757,0.00006788136,0.000004398185,0.00000880863,0.000007972599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7481787,"threshold_uncertainty_score":0.4978059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933442667895022,"score_gpt":0.2535891522116942,"score_spread":0.234254725532744,"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."}}