{"id":"W2211036571","doi":"10.1109/tmtt.2015.2504500","title":"On Impedance-Pattern Selection for Noise Parameter Measurement","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Admittance; Noise (video); Electrical impedance; Noise measurement; Tuner; Control theory (sociology); Amplifier; Electronic engineering; Computer science; Acoustics; Noise reduction; Engineering; Physics; Radio frequency; Electrical engineering; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001233245,0.0002943731,0.0002369838,0.0002529265,0.0001187976,0.00004885904,0.000109551,0.0001687563,0.00002104515],"category_scores_gemma":[0.00002502965,0.0002782037,0.0001137683,0.0001479654,0.00004669944,0.0001159279,9.217723e-7,0.0002682356,0.00001048041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002139853,"about_ca_system_score_gemma":0.00002843994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007648853,"about_ca_topic_score_gemma":0.00002133179,"domain_scores_codex":[0.9987941,0.00010835,0.0002662132,0.000296395,0.0002258178,0.0003090985],"domain_scores_gemma":[0.9993078,0.0001477374,0.00004017774,0.0002192396,0.0001629933,0.0001220271],"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":[0.0003284926,0.0001187557,0.000002694669,0.00006821979,0.00008488622,8.389137e-7,0.0001483826,0.00009585086,0.768441,0.001041175,0.004333701,0.2253361],"study_design_scores_gemma":[0.000362751,0.0007326597,8.733406e-7,0.00009366506,0.00006229691,0.00001408002,0.00002043621,0.0003522255,0.9698941,0.02609183,0.002066823,0.0003082783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04632128,0.0001944272,0.9493337,0.00002547883,0.0001672398,0.0007805623,0.00001876176,0.001266592,0.001891994],"genre_scores_gemma":[0.9940017,0.0001632166,0.004854626,0.0003006444,0.00005477779,0.0004460189,0.000002742607,0.00006101161,0.0001151882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9476805,"threshold_uncertainty_score":0.999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0340102076327727,"score_gpt":0.2463443963510272,"score_spread":0.2123341887182545,"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."}}