{"id":"W2117116343","doi":"10.1109/tmtt.2011.2109734","title":"On the Number of Noise Parameters for Analyses of Circuits With MOSFETs","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Noise (video); Electronic circuit; Electronic engineering; MOSFET; Noise measurement; Noise temperature; Effective input noise temperature; Noise figure; Low-noise amplifier; Mathematics; Amplifier; Electrical engineering; Noise reduction; Computer science; CMOS; Engineering; Phase noise; Transistor; Voltage; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002881777,0.0001659954,0.0002115745,0.0001135125,0.00004770762,0.000005968323,0.000131179,0.00008805568,0.00007095352],"category_scores_gemma":[0.000006868618,0.0001107473,0.0000912397,0.0001636213,0.0002131827,0.00006461065,9.495055e-8,0.0001624171,0.00000151685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002134287,"about_ca_system_score_gemma":0.00001218244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001954476,"about_ca_topic_score_gemma":0.000003221275,"domain_scores_codex":[0.9993652,0.00008372868,0.0002113715,0.0001351206,0.00007108282,0.0001334878],"domain_scores_gemma":[0.9991586,0.0004269207,0.0000530178,0.0002690915,0.00006305205,0.00002933514],"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":[0.0001861811,0.00008259374,0.000003542663,0.00006312267,0.0002555126,0.000001416414,0.0005357265,0.0002672529,0.9676458,0.01625438,0.0000345957,0.01466993],"study_design_scores_gemma":[0.0001115783,0.0003013804,0.000004569778,0.0001282731,0.0001192677,0.00001718906,0.000106284,0.00001903133,0.9644609,0.03460499,0.000004191889,0.0001223617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3445326,0.00003161248,0.6444511,0.000003241931,0.00003136674,0.0003307396,0.00005080859,0.0001378542,0.01043072],"genre_scores_gemma":[0.9977011,0.0000665441,0.002013523,0.00003042616,0.000003021957,0.0001231277,7.745691e-7,0.00003328283,0.00002817109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6531686,"threshold_uncertainty_score":0.4516145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04178802633502708,"score_gpt":0.2641367624307676,"score_spread":0.2223487360957405,"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."}}