{"id":"W4293519261","doi":"10.1109/rfic54546.2022.9863196","title":"An LNA with Input Power Match from 6.1 to 38.6 GHz, the Noise-Figure Minimum of 1.9 dB, and Employing Back Gate for Matching","year":2022,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Noise figure; Low-noise amplifier; Power gain; Electrical engineering; Transconductance; Common gate; Impedance matching; Bandwidth (computing); Amplifier; Electronic engineering; Transistor; Computer science; Engineering; Electrical impedance; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002912767,0.0004654825,0.0003830993,0.0003923489,0.0003125214,0.0008099198,0.001084985,0.0009801904,0.002142043],"category_scores_gemma":[0.0004853253,0.0002466102,0.0004096028,0.000277331,0.0004130465,0.0008297251,0.0004146494,0.0006605101,0.001974279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004624409,"about_ca_system_score_gemma":0.000327812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004438322,"about_ca_topic_score_gemma":0.00100912,"domain_scores_codex":[0.9996138,0.00003234493,0.00002004005,0.0001284487,0.0001429824,0.0000624548],"domain_scores_gemma":[0.9998549,0.00003373019,0.00003363202,0.00002388097,0.00004056123,0.00001326559],"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":[0.00007620045,0.00002260581,0.0006007805,0.00007701071,0.00001276122,0.00009248233,0.00006332397,0.0004164724,0.9842029,0.001193537,0.0001797705,0.0130622],"study_design_scores_gemma":[0.00003607312,0.0005278712,0.004268121,0.00002597605,0.00007221698,0.00208167,0.00007610144,0.01110291,0.9452481,0.001004844,0.03551346,0.00004273013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5636528,0.001990546,0.396495,0.001422683,0.000333816,0.0001385371,0.0004263843,0.002969128,0.03257126],"genre_scores_gemma":[0.8924003,0.000530657,0.09602293,0.0003417932,0.0001091248,0.00007886677,0.0003448631,0.0001587371,0.01001272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002142043,"threshold_uncertainty_score":0.007165849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136095438250211,"score_gpt":0.2160776499964267,"score_spread":0.2047166956139246,"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."}}