{"id":"W1496486294","doi":"10.1049/el.2010.3226","title":"Wideband variable gain amplifier with noise cancellation","year":2011,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Noise figure; Variable-gain amplifier; Wideband; Low-noise amplifier; Automatic gain control; Amplifier; Power gain; Noise (video); CMOS; Electrical engineering; Effective input noise temperature; Physics; Electronic engineering; Engineering; Computer science; Operational amplifier","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":[0.0001056162,0.0001821428,0.0001374081,0.00008009102,0.00004615527,0.00002675168,0.0001522524,0.00006757048,0.0002435464],"category_scores_gemma":[0.000005794259,0.0001698358,0.0000247967,0.0002759687,0.0000307032,0.0001587083,8.314678e-7,0.0002990559,0.00004639792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003723959,"about_ca_system_score_gemma":0.00006262292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076145,"about_ca_topic_score_gemma":0.00005650135,"domain_scores_codex":[0.9990087,0.00002215306,0.0001508668,0.0001899668,0.0001358759,0.0004924511],"domain_scores_gemma":[0.9995939,0.00002094375,0.00002805044,0.0002670234,0.00002674056,0.00006340961],"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":[0.00002698813,0.00001586756,0.0007052845,0.00002865208,0.0001683081,0.00002765759,0.0006223081,0.06569194,0.9045734,0.01001802,0.01697664,0.001144891],"study_design_scores_gemma":[0.001011945,0.0002583988,0.0004461928,0.00008682507,0.0001178767,0.0001011013,0.00003611411,0.01356896,0.9555896,0.004923774,0.02272852,0.001130668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2611334,0.002347341,0.5252568,0.0003006491,0.000593928,0.0006585219,0.00001059278,0.001245729,0.2084531],"genre_scores_gemma":[0.9979213,0.00005048908,0.001231841,0.0005130669,0.00006298356,0.0000366643,0.00001027339,0.00006578287,0.0001075644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.736788,"threshold_uncertainty_score":0.6925703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024244151040554,"score_gpt":0.1673759029554035,"score_spread":0.157133461444998,"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."}}