{"id":"W585024330","doi":"10.1016/j.vlsi.2015.06.002","title":"g-boosted flat gain UWB low noise amplifier with active inductor-based input matching network","year":2015,"lang":"en","type":"article","venue":"Integration","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Common gate; Noise figure; Inductor; Low-noise amplifier; CMOS; Electrical engineering; Amplifier; Return loss; Electronic engineering; Wideband; Active noise control; Noise (video); Power gain; Effective input noise temperature; Ultra-wideband; Engineering; Computer science; Antenna (radio); Channel (broadcasting); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002634928,0.0003470527,0.0002768757,0.0001685008,0.00007013307,0.0001308123,0.0001945938,0.000231712,0.00005253472],"category_scores_gemma":[0.0000810769,0.0002853196,0.00005693655,0.0005685365,0.00005414886,0.0005134779,0.000002332675,0.0005878502,0.0001329354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006999601,"about_ca_system_score_gemma":0.0001916513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000207846,"about_ca_topic_score_gemma":0.0002983104,"domain_scores_codex":[0.9985037,0.0001074603,0.0003259038,0.0002972239,0.0003549377,0.0004107529],"domain_scores_gemma":[0.9989864,0.00009365434,0.00008305351,0.0003816368,0.0002666051,0.0001886083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001645922,0.00003947256,0.0003455874,0.00003571628,0.0001559363,0.00005920343,0.003687959,0.8257366,0.1329827,0.001979508,0.01105419,0.02375849],"study_design_scores_gemma":[0.002363751,0.0005332524,0.001080548,0.001078148,0.0001323518,0.00007489655,0.001812576,0.2377538,0.739772,0.01226197,0.001537794,0.001598921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.597962,0.0001516133,0.3730387,0.0001075336,0.001141944,0.0006516604,0.00002173544,0.001028496,0.02589632],"genre_scores_gemma":[0.9976076,0.000003250839,0.001427458,0.0001594604,0.0003399493,0.00009655465,0.000136849,0.00009502347,0.0001337995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6067893,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298004597985205,"score_gpt":0.22425274660762,"score_spread":0.2012727006277679,"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."}}