{"id":"W2000363304","doi":"10.1002/mop.22765","title":"An accurate scaling approach for small‐signal modeling of high‐power HBT devices","year":2007,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Heterojunction bipolar transistor; Small-signal model; Scaling; Microwave; SIGNAL (programming language); Electronic engineering; Transistor; Bipolar junction transistor; Power (physics); Heterojunction; Wafer; Electrical engineering; Engineering; Optoelectronics; Materials science; Computer science; Physics; Telecommunications; 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":[],"consensus_categories":[],"category_scores_codex":[0.00033361,0.0002257482,0.00031838,0.0003326482,0.00006106236,0.00002830204,0.0002749198,0.0003766875,0.000003591277],"category_scores_gemma":[0.00002226433,0.0002180926,0.00005874892,0.0002763933,0.0002259636,0.0001154188,0.000006507945,0.0003604479,0.000001598003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004900122,"about_ca_system_score_gemma":0.000009126275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006012223,"about_ca_topic_score_gemma":0.000004107146,"domain_scores_codex":[0.9986935,0.00000987934,0.000390969,0.0003268183,0.00007597685,0.0005028031],"domain_scores_gemma":[0.9994946,0.00006773,0.00003695983,0.0002578793,0.00006201137,0.00008085565],"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":[0.00001492596,0.00002453012,0.0001075826,0.00006066847,0.000078491,0.00001221339,0.000060141,0.02807818,0.9584666,0.006709826,0.00001659777,0.006370251],"study_design_scores_gemma":[0.0004083196,0.00009224049,0.00004433646,0.0000368927,0.00005386607,0.00005778137,0.0003626826,0.1853426,0.8117156,0.001550681,0.00001981724,0.000315113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4899407,0.0002088761,0.5090326,0.00008772231,0.0000386621,0.0001342259,0.000004619092,0.0001917486,0.0003608536],"genre_scores_gemma":[0.9124663,0.000008082356,0.08720938,0.0002069705,0.00003537668,0.00001925786,0.00001037821,0.00004299763,0.000001196191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4225257,"threshold_uncertainty_score":0.8893558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658247286852817,"score_gpt":0.2234482192724154,"score_spread":0.2068657464038872,"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."}}