{"id":"W2031840261","doi":"10.1109/smic.2007.322807","title":"A Low-Power Current-Reuse LNA for Ultra-Wideband Wireless Receivers from 3.1 to 10.6 GHz","year":2007,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Wideband; Electrical engineering; Amplifier; Low-noise amplifier; Reuse; Noise figure; CMOS; Electronic engineering; Power (physics); Wireless; Noise (video); Ultra-wideband; Computer science; Engineering; Telecommunications; Physics","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":[0.0002875663,0.0004814734,0.000393016,0.0002921472,0.0003419099,0.0006410922,0.001942518,0.0007858037,0.002598569],"category_scores_gemma":[0.0004664842,0.0003953122,0.0005525758,0.0002547977,0.0003571769,0.0008778463,0.0003439531,0.0008461359,0.002610552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003543516,"about_ca_system_score_gemma":0.0003322212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004953272,"about_ca_topic_score_gemma":0.001471466,"domain_scores_codex":[0.9997749,0.00002576331,0.00001037521,0.00005164709,0.0001001725,0.00003719291],"domain_scores_gemma":[0.9997763,0.00004722828,0.00004489263,0.00003495605,0.00006731442,0.00002923028],"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":[0.0001123216,0.00003953946,0.0004823314,0.00008680338,0.00002526142,0.0002069989,0.00007892947,0.000542154,0.9546335,0.001767358,0.0006658538,0.04135898],"study_design_scores_gemma":[0.00007278135,0.001445495,0.002548338,0.00005157974,0.0002131801,0.005768925,0.00004591716,0.02440665,0.9280673,0.0009743992,0.03633061,0.00007482225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2247931,0.003759701,0.7464586,0.001460025,0.0003953406,0.0001355617,0.0001532506,0.00671575,0.01612861],"genre_scores_gemma":[0.7132838,0.001486275,0.2574001,0.0007961239,0.0003157695,0.00007442002,0.0001905416,0.0002422988,0.02621067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002598569,"threshold_uncertainty_score":0.008693039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137385389975913,"score_gpt":0.2404344828643419,"score_spread":0.2266959438667505,"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."}}