{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002633292,0.0003809703,0.0003985117,0.0002833047,0.0003688569,0.0005287956,0.001343093,0.0007238287,0.002059605],"category_scores_gemma":[0.0005957374,0.0001958529,0.0002978525,0.0003680972,0.0002614405,0.0006213787,0.0004913721,0.0005098702,0.001181355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003766549,"about_ca_system_score_gemma":0.000242922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008793531,"about_ca_topic_score_gemma":0.001758124,"domain_scores_codex":[0.9994667,0.00004487171,0.00002304447,0.0001160134,0.0002633723,0.00008593906],"domain_scores_gemma":[0.9998204,0.00004526762,0.00003432945,0.00001989883,0.0000667464,0.00001332856],"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":[0.0001578603,0.0000339393,0.000848499,0.0001185321,0.00003374562,0.0002572838,0.0001229781,0.001987085,0.920592,0.004432386,0.001032503,0.07038332],"study_design_scores_gemma":[0.00008126659,0.001157472,0.004097332,0.00007377352,0.0001891885,0.004028182,0.00008755921,0.08274502,0.8615021,0.001848409,0.04410373,0.00008602491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1677722,0.001897513,0.8093962,0.0004701586,0.0002235345,0.00009558514,0.0001255214,0.003217635,0.01680163],"genre_scores_gemma":[0.8575709,0.0004664299,0.1307957,0.000253813,0.0001004639,0.00004799648,0.0001404401,0.00008433757,0.01053981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002059605,"threshold_uncertainty_score":0.006890059,"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."}}