{"id":"W1984593609","doi":"10.1116/1.582174","title":"Direct extraction of the channel thermal noise in metal-oxide-semiconductor field effect transistor from measurements of their rf noise parameters","year":2000,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noise (video); Materials science; Transconductance; MOSFET; Field-effect transistor; Noise generator; Transistor; Flicker noise; Optoelectronics; Y-factor; Noise figure; Noise temperature; Extraction (chemistry); Electronic engineering; Electrical engineering; Engineering; CMOS; Phase noise; Chemistry; Computer science; Amplifier","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867767,0.0005005202,0.0004215403,0.0006840947,0.0001646409,0.0002538665,0.0004117813,0.0003629257,0.0006034726],"category_scores_gemma":[0.001475222,0.0002576927,0.0002288643,0.0003316951,0.0002656833,0.0005588396,0.0002002667,0.0002399352,0.0004312079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002465655,"about_ca_system_score_gemma":0.0001658069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004444365,"about_ca_topic_score_gemma":0.001292705,"domain_scores_codex":[0.9997279,0.00003583799,0.00001163705,0.00006485778,0.000146905,0.00001270897],"domain_scores_gemma":[0.9995582,0.0002492228,0.00005470788,0.00004800324,0.00008160021,0.000008257087],"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":[0.00008043608,0.00002556544,0.002219487,0.0002573073,0.00003311761,0.0001294794,0.0001165784,0.003984008,0.9498445,0.001426357,0.0001963408,0.04168694],"study_design_scores_gemma":[0.0000266787,0.000270046,0.01523868,0.00005937483,0.0000849304,0.0009177042,0.00006617528,0.05759688,0.9165232,0.002483262,0.006678207,0.00005489411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3512429,0.001998599,0.6389184,0.0001122496,0.00006398719,0.0001035881,0.0005067858,0.00129171,0.005761735],"genre_scores_gemma":[0.8678404,0.001095768,0.1276313,0.00006993525,0.00005146395,0.0001463938,0.0004305872,0.0001735496,0.002560658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006840947,"threshold_uncertainty_score":0.002018809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619074358045522,"score_gpt":0.2224702911755818,"score_spread":0.2062795475951266,"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."}}