{"id":"W2904500680","doi":"10.1002/pssa.201800505","title":"Large Periphery GaN HEMTs Modeling Using Distributed Gate Resistance","year":2018,"lang":"en","type":"article","venue":"physica status solidi (a)","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transistor; Optoelectronics; Materials science; Substrate (aquarium); High-electron-mobility transistor; Sheet resistance; Metal gate; Electrical resistance and conductance; Electrical engineering; Gate oxide; Nanotechnology; Engineering; Layer (electronics); Voltage","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001078542,0.0002876546,0.0003660732,0.00003286658,0.0003819708,0.0001465925,0.0001916774,0.00004057708,0.0004146615],"category_scores_gemma":[0.000005383338,0.0002837572,0.0001382326,0.0001978262,0.00007595905,0.000280379,0.00007382738,0.0001275485,0.00008640723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005900467,"about_ca_system_score_gemma":0.000113405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003243409,"about_ca_topic_score_gemma":0.00002840261,"domain_scores_codex":[0.9981153,0.0000609479,0.0003099889,0.0004400635,0.0002079562,0.0008657514],"domain_scores_gemma":[0.9989933,0.0000231931,0.0001721432,0.0004384415,0.0001849162,0.0001880469],"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":[0.0002230872,0.0006614357,0.002802434,0.0001666043,0.0003249501,0.000007402091,0.003487385,0.003253035,0.9616288,0.02359052,0.003504012,0.0003503319],"study_design_scores_gemma":[0.004879594,0.0002319507,0.0006979563,0.0006075446,0.0004648198,0.000001910593,0.006036929,0.3298394,0.5131866,0.04648395,0.09438008,0.003189241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772533,0.00005685019,0.01723978,0.0000478119,0.0003973955,0.0001885881,0.001071431,0.00008486387,0.00365997],"genre_scores_gemma":[0.9974351,0.000003327082,0.0005330183,0.00007155758,0.001423115,0.00001701219,0.0003007272,0.00005558408,0.0001605533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4484422,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646365536479452,"score_gpt":0.285746656615703,"score_spread":0.2592830012509085,"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."}}