{"id":"W2168028362","doi":"10.1109/tim.2008.917673","title":"A Technique for Differential Noise Figure Measurement of Differential LNAs","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Smithsonian Astrophysical Observatory","keywords":"Noise figure; Noise temperature; Noise (video); Low-noise amplifier; Effective input noise temperature; Noise-figure meter; Noise measurement; Wideband; Physics; Differential (mechanical device); Electronic engineering; Electrical engineering; Amplifier; Computer science; Acoustics; Engineering; Noise reduction; Phase noise; CMOS","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":[0.0009256644,0.001000363,0.0005619347,0.001760501,0.000569849,0.0008499455,0.001784244,0.001160309,0.002756563],"category_scores_gemma":[0.003187581,0.0004931453,0.000395147,0.001194121,0.0008749298,0.001303954,0.001223746,0.001364761,0.001699598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007111836,"about_ca_system_score_gemma":0.0003029024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002435891,"about_ca_topic_score_gemma":0.0005473217,"domain_scores_codex":[0.9970399,0.0004417976,0.0001408043,0.0006723991,0.001600562,0.000104537],"domain_scores_gemma":[0.9979585,0.0006149806,0.0002006768,0.0004670996,0.0007087556,0.00004988305],"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":[0.0001442011,0.00006732291,0.001282088,0.000285626,0.00004258367,0.0001804669,0.0003094985,0.001379099,0.8835593,0.008132133,0.001046219,0.1035715],"study_design_scores_gemma":[0.00003498975,0.0003863722,0.002220913,0.00006044056,0.00005536545,0.001513574,0.0001019642,0.01347721,0.9489024,0.002705875,0.03045218,0.00008879849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02237745,0.0005667599,0.9679565,0.0001131131,0.0002924559,0.000116496,0.000140434,0.00177183,0.006665011],"genre_scores_gemma":[0.3355269,0.000762795,0.6531876,0.0005131645,0.0001383312,0.0005029763,0.0003010014,0.0004105402,0.00865679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002756563,"threshold_uncertainty_score":0.009221613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03356974785607082,"score_gpt":0.2219983703663547,"score_spread":0.1884286225102839,"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."}}