{"id":"W2100834973","doi":"10.5539/mas.v6n8p21","title":"Presenting Systematic Design for UWB Low Noise Amplifier Circuits","year":2012,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Low-noise amplifier; Impedance matching; Computer science; Electronic engineering; Amplifier; Matching (statistics); Instrumentation amplifier; Noise (video); CMOS; Electronic circuit; Electrical impedance; Electrical engineering; Differential amplifier; Mathematics; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001773236,0.000275474,0.0003479595,0.0002260593,0.0002864829,0.0002039794,0.0008074929,0.0001006136,0.000013702],"category_scores_gemma":[0.000174773,0.0002549867,0.00006656618,0.0006636413,0.000193925,0.0005850662,0.000009553948,0.0001813458,0.0001456262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003041227,"about_ca_system_score_gemma":0.00008538509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002225716,"about_ca_topic_score_gemma":3.401057e-7,"domain_scores_codex":[0.9974847,0.00002713039,0.0004186503,0.0003873864,0.0005602276,0.001121893],"domain_scores_gemma":[0.9986934,0.0002343786,0.00007931887,0.0006086498,0.00009936409,0.0002848981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001603884,0.00002435466,0.0000271909,0.001970151,0.00001977977,7.588954e-7,0.001755333,0.03522738,0.9560984,0.00392908,0.0002379759,0.000707932],"study_design_scores_gemma":[0.0002332092,0.000009102744,0.00006828924,0.0003013844,0.00004274527,0.00001877453,0.00009515919,0.6471863,0.3458384,0.005758682,0.00001645878,0.0004314198],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01329898,0.0003790467,0.9607465,0.000004587036,0.0005563924,0.001891502,0.000005378724,0.0005049572,0.02261271],"genre_scores_gemma":[0.9962008,0.000003232878,0.002526901,0.00003898776,0.0001319757,0.0009049479,0.000001644227,0.00006557505,0.0001259602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9829018,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721893873204681,"score_gpt":0.2398611010792076,"score_spread":0.2026421623471608,"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."}}