{"id":"W2179756078","doi":"10.1049/el.2015.2362","title":"Characterisation and analytical modelling of GaN HEMT‐based varactor diodes","year":2015,"lang":"en","type":"article","venue":"Electronics Letters","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Varicap; High-electron-mobility transistor; Optoelectronics; Materials science; Diode; Electronic engineering; Gallium nitride; Wide-bandgap semiconductor; Electrical engineering; Capacitance; Engineering; Transistor; Voltage; Physics; Nanotechnology","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":[0.0001703416,0.000121643,0.0002005297,0.00005054928,0.00002880387,0.00004061527,0.00007459899,0.00002760287,0.00004709518],"category_scores_gemma":[0.000002968923,0.0001149762,0.00004781135,0.00006372586,0.00003417773,0.0001195883,0.00001000991,0.00009304554,0.000004349997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003221704,"about_ca_system_score_gemma":0.00007509683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019843,"about_ca_topic_score_gemma":0.000001307588,"domain_scores_codex":[0.9992167,0.00003713886,0.0002048119,0.00017394,0.0001276063,0.0002397513],"domain_scores_gemma":[0.9995748,0.00003283232,0.0001207737,0.0001420212,0.00004356853,0.0000859942],"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":[0.0001275599,0.0001508091,0.024614,0.00006386547,0.0001499433,0.000001722098,0.0005823887,0.008915611,0.9541059,0.009232145,0.0005847198,0.001471362],"study_design_scores_gemma":[0.002358844,0.0002934981,0.001534191,0.00006885519,0.0002082315,0.000001862712,0.0002119003,0.1847375,0.8015844,0.002557077,0.005717531,0.000726092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979365,0.00005095781,0.01969367,0.0005754364,0.00007183499,0.00009260789,0.00001798315,0.00001541822,0.0001170806],"genre_scores_gemma":[0.9991156,0.000002098316,0.0003306474,0.0002921183,0.0001516768,0.000006110236,0.00007343607,0.00001569768,0.00001265658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1758219,"threshold_uncertainty_score":0.4688594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337807956413946,"score_gpt":0.2446547980367485,"score_spread":0.2112767184726091,"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."}}