{"id":"W2158703998","doi":"10.1109/wamicon.2009.5207261","title":"Dynamic feedback CMOS LNA, for UWB WLAN transform-domain receiver loss of orthogonality","year":2009,"lang":"en","type":"article","venue":"","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Noise figure; Low-noise amplifier; Electronic engineering; CMOS; Amplifier; Robustness (evolution); Dynamic range; Computer science; Impedance matching; Electrical engineering; Electrical impedance; Engineering","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":[0.0002085227,0.000328604,0.0002025093,0.0002487558,0.0003178977,0.0006013082,0.0007300868,0.0005090046,0.00172818],"category_scores_gemma":[0.000570739,0.0002007624,0.0002389644,0.0001823289,0.0002600748,0.0007638723,0.000320473,0.0004999044,0.000893346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000561798,"about_ca_system_score_gemma":0.0003393809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003826634,"about_ca_topic_score_gemma":0.001301359,"domain_scores_codex":[0.9997075,0.00002711179,0.00001325976,0.00006883775,0.0001596602,0.00002359236],"domain_scores_gemma":[0.9998104,0.00005568944,0.00004362468,0.00001983261,0.00005974012,0.0000107615],"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":[0.0001375077,0.00003095252,0.0007492637,0.000161338,0.00002263455,0.0001705099,0.00007500809,0.001946638,0.9157272,0.006602811,0.0006522315,0.07372379],"study_design_scores_gemma":[0.00008716273,0.001195935,0.002783554,0.00007141606,0.0001792378,0.004788282,0.0001106262,0.0667737,0.8550736,0.003568909,0.06531646,0.00005114385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2189039,0.005580934,0.7531887,0.001194977,0.0003687644,0.0001002337,0.0001893099,0.001512406,0.01896078],"genre_scores_gemma":[0.8937385,0.002071313,0.0887168,0.0006724596,0.000172509,0.000060402,0.000119856,0.00006298606,0.01438519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00172818,"threshold_uncertainty_score":0.005781353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00956006142607701,"score_gpt":0.2278800346896336,"score_spread":0.2183199732635565,"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."}}