{"id":"W2053238663","doi":"10.1117/12.547190","title":"Characterization and modeling of high-frequency noise in MOSFETs for RF IC design","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noise (video); Electronic engineering; Noise generator; Noise temperature; Computer science; CMOS; Noise measurement; Noise figure; Flicker noise; Low-noise amplifier; Physics; Phase noise; Acoustics; Noise reduction; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004300426,0.0002353418,0.0003742191,0.0001199749,0.00003876343,0.00003627471,0.0003705009,0.0001624284,0.000003174601],"category_scores_gemma":[0.0002757529,0.0002181211,0.0002045247,0.0002355978,0.00008284915,0.0004239719,0.0000548737,0.0001907874,1.572141e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140544,"about_ca_system_score_gemma":0.00002699406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001615364,"about_ca_topic_score_gemma":4.721446e-7,"domain_scores_codex":[0.9984915,1.585094e-8,0.0006443521,0.0002656631,0.0003081714,0.0002903504],"domain_scores_gemma":[0.9990334,0.000104985,0.0001439291,0.00004787217,0.0006002194,0.00006959582],"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":[0.00008306445,0.00007834658,0.0001020398,0.0008595706,0.00008666552,3.317774e-8,0.0002884104,0.02504463,0.9025453,0.07056192,0.00002139787,0.000328682],"study_design_scores_gemma":[0.001636357,0.0003455374,0.0009950228,0.0005757477,0.0000724842,0.000005095509,0.0001784562,0.5287043,0.4609625,0.006235456,0.0000186231,0.0002703955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994262,0.0001240221,0.004114498,0.0004383992,0.0001144581,0.0007416651,0.00003780095,0.00006653354,0.0001005969],"genre_scores_gemma":[0.8957837,0.0001400602,0.1037781,0.00001231587,0.00008798218,0.0001341419,0.00001236304,0.00004157962,0.000009774382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5036597,"threshold_uncertainty_score":0.8894722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305753440381985,"score_gpt":0.2153463599864341,"score_spread":0.2022888255826142,"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."}}