{"id":"W2118629600","doi":"10.1587/transele.e94.c.1240","title":"An Analog Controlled Variable Gain LNA with Tunable Frequency Bands","year":2011,"lang":"en","type":"article","venue":"IEICE Transactions on Electronics","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Automatic gain control; CMOS; Noise figure; Voltage; Electronic engineering; Electrical engineering; High-gain antenna; Variable-gain amplifier; Materials science; Engineering; Operational amplifier; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002923167,0.0003950219,0.0004527962,0.0002833081,0.0001927955,0.00005917856,0.000370244,0.0002288738,0.001008506],"category_scores_gemma":[0.000005131684,0.0003535016,0.0001051773,0.0007918356,0.00005879737,0.0005157777,1.127707e-7,0.0008486623,0.000071802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004941464,"about_ca_system_score_gemma":0.0002831627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002724782,"about_ca_topic_score_gemma":0.0004086854,"domain_scores_codex":[0.998028,0.00009529543,0.0003740554,0.0003853337,0.0002610106,0.000856251],"domain_scores_gemma":[0.9988814,0.00007401504,0.00005165137,0.0006636788,0.000127033,0.0002022247],"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":[0.0009523077,0.00131966,0.00007371189,0.0001046838,0.002146581,0.0001213525,0.001863258,0.660201,0.2734905,0.05231398,0.0003549938,0.00705788],"study_design_scores_gemma":[0.01591322,0.008540846,0.0001049052,0.0002425974,0.001544974,0.0004663577,0.0009671037,0.2549506,0.6854986,0.02635732,0.002142019,0.003271497],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01565469,0.0009981361,0.8526954,0.00001763237,0.0002376401,0.0005981345,0.00003328428,0.001178346,0.1285867],"genre_scores_gemma":[0.9962853,0.0002113634,0.002646697,0.0000879224,0.00003910408,0.0002534341,0.00001417082,0.0001210704,0.0003409927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9806306,"threshold_uncertainty_score":0.9999047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050763912507738,"score_gpt":0.1915619367449881,"score_spread":0.1810542976199107,"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."}}