{"id":"W2512127083","doi":"10.1109/tmtt.2016.2600327","title":"Noise Parameters of Gilbert Cell Mixers","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems; University of Calgary","keywords":"Noise temperature; Noise (video); Noise measurement; Noise generator; Y-factor; Noise figure; Noise floor; Acoustics; Effective input noise temperature; Electronic engineering; Flicker noise; Noise spectral density; Noise-figure meter; Harmonic; Electrical impedance; Electrical engineering; Engineering; Computer science; Physics; Noise reduction; Phase noise; 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":[0.0009275188,0.0009829613,0.0005323366,0.001833364,0.0003841511,0.001479834,0.0007624105,0.000868791,0.001867202],"category_scores_gemma":[0.004920103,0.0004227716,0.000298733,0.0007472489,0.0005455927,0.001521519,0.0004633507,0.000663261,0.001363624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006908271,"about_ca_system_score_gemma":0.0003445724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005158168,"about_ca_topic_score_gemma":0.0007272901,"domain_scores_codex":[0.9990356,0.0002820311,0.00005860482,0.0001580854,0.0004240041,0.00004173322],"domain_scores_gemma":[0.9989499,0.0005729373,0.0001171668,0.00010283,0.0002388523,0.00001822616],"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":[0.0006761475,0.00007379054,0.006412652,0.0007141158,0.0001364415,0.0003856093,0.001221907,0.1059646,0.5667369,0.1428395,0.002618507,0.1722197],"study_design_scores_gemma":[0.00005076234,0.0003095619,0.002353887,0.0001945478,0.0001258641,0.0009409039,0.0001866407,0.3616618,0.5526921,0.03095963,0.05029332,0.0002311698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1068425,0.003295319,0.8565965,0.0003225465,0.0002971679,0.0002018058,0.000814273,0.00220912,0.02942079],"genre_scores_gemma":[0.878298,0.001417891,0.1105297,0.0002315402,0.0001075664,0.0002242493,0.0007538772,0.0005840314,0.007853184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001867202,"threshold_uncertainty_score":0.006246448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007796225369917432,"score_gpt":0.1959534354966592,"score_spread":0.1881572101267417,"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."}}