{"id":"W2145603816","doi":"10.1109/tcsi.2006.887622","title":"Design of the Input Matching Network of RF CMOS LNAs for Low-Power Operation","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"CMOS; Electronic engineering; Noise figure; Amplifier; Power gain; Impedance matching; Low-noise amplifier; Engineering; Electrical engineering; Noise (video); MOSFET; Electrical impedance; Computer science; Transistor; Voltage","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":[0.0005141238,0.0006831315,0.0004214429,0.0004276961,0.0003709801,0.0009940421,0.0009828976,0.0007107265,0.001196808],"category_scores_gemma":[0.001085412,0.000414667,0.0003819688,0.0004031017,0.0003234362,0.001016729,0.0003557734,0.0003677403,0.0008160718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001085583,"about_ca_system_score_gemma":0.0005012646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006294856,"about_ca_topic_score_gemma":0.001539462,"domain_scores_codex":[0.9996564,0.00007100681,0.00002071674,0.00009391527,0.0001162838,0.00004165578],"domain_scores_gemma":[0.9996709,0.0001041698,0.00009698366,0.00002394638,0.00009150976,0.00001250528],"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":[0.0002659062,0.00006842726,0.001974191,0.0004341625,0.0001010532,0.0001909309,0.000192095,0.06692271,0.8292313,0.01514446,0.0009567675,0.08451805],"study_design_scores_gemma":[0.0001084423,0.000617472,0.00255425,0.0001073833,0.0002297664,0.0006185824,0.0001025355,0.3555541,0.6089177,0.006251257,0.02487744,0.00006106441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08881413,0.001067768,0.8967631,0.0003907892,0.00008245924,0.0001906823,0.0001310264,0.001099704,0.01146039],"genre_scores_gemma":[0.7357574,0.0008392692,0.2578081,0.0001965495,0.0001016098,0.0002343672,0.0001477689,0.0001941095,0.00472089],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001196808,"threshold_uncertainty_score":0.007876456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633113211974365,"score_gpt":0.2311576561293454,"score_spread":0.2148265240096018,"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."}}