{"id":"W3034723674","doi":"10.1002/mmce.22291","title":"New <scp>small‐signal</scp> extraction method applied to <scp>GaN</scp> <scp>HEMTs</scp> on different substrates","year":2020,"lang":"en","type":"article","venue":"International Journal of RF and Microwave Computer-Aided Engineering","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"High-electron-mobility transistor; Passivation; Materials science; Optoelectronics; Nucleation; Transistor; Gallium nitride; SIGNAL (programming language); Nitride; Layer (electronics); Voltage; Chemistry; Nanotechnology; Computer science; Electrical 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":[0.00009980318,0.0004215988,0.0002035352,0.000190336,0.0001440022,0.0002886587,0.0003616752,0.0003007841,0.0007947338],"category_scores_gemma":[0.0002124662,0.0002317045,0.000296826,0.0002391625,0.0001576932,0.0003915334,0.0001369786,0.0003359677,0.000248139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002776077,"about_ca_system_score_gemma":0.0002383194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004955785,"about_ca_topic_score_gemma":0.001295553,"domain_scores_codex":[0.9999417,0.000005400392,0.000002947862,0.00001522049,0.00003032061,0.000004368206],"domain_scores_gemma":[0.9999002,0.00003266124,0.00001607499,0.00001932145,0.00002862391,0.000003122833],"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":[0.0000269379,0.00001477791,0.0004249601,0.0001172623,0.00002955177,0.0001343024,0.00005022182,0.01002678,0.9563589,0.001420515,0.0003712136,0.03102474],"study_design_scores_gemma":[0.00001565913,0.0001061924,0.00210328,0.000007835045,0.00003182443,0.0004397809,0.00002674827,0.1785099,0.8123825,0.0008394496,0.005508557,0.00002820846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2139646,0.0003997746,0.7784312,0.0002229097,0.00007779605,0.00009991707,0.0003585622,0.001022327,0.005422832],"genre_scores_gemma":[0.7178535,0.000314975,0.2784716,0.00005463318,0.00002259401,0.0001163414,0.000330658,0.0001971718,0.002638583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0007947338,"threshold_uncertainty_score":0.002658665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631847266378652,"score_gpt":0.2432502062186461,"score_spread":0.2269317335548595,"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."}}