{"id":"W4376619497","doi":"10.1016/j.measurement.2023.113021","title":"Determination of propagation constant and impedance of non-reciprocal networks/lines using a generalized line-line method","year":2023,"lang":"en","type":"article","venue":"Measurement","topic":"Microwave and Dielectric Measurement Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Propagation constant; Line (geometry); Constant (computer programming); Reciprocal; Characteristic impedance; Electrical impedance; Scattering parameters; Mathematical analysis; Mathematics; Root mean square; Transmission line; Physics; Acoustics; Optics; Computational physics; Computer science; Telecommunications; Geometry","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":[0.0004081731,0.0007414437,0.0004076965,0.001096627,0.0002743903,0.0005040668,0.0009108663,0.0005748572,0.001166345],"category_scores_gemma":[0.001358226,0.0002590745,0.0002738287,0.0009309749,0.0004527298,0.0008636724,0.0003484514,0.0005297443,0.0005926303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000304828,"about_ca_system_score_gemma":0.0003178565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006992369,"about_ca_topic_score_gemma":0.00137228,"domain_scores_codex":[0.999292,0.0002395796,0.00002034194,0.0001596763,0.0002575179,0.00003076595],"domain_scores_gemma":[0.9991305,0.0003455994,0.0001328798,0.0001607268,0.0002045559,0.0000256759],"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":[0.0001725712,0.00008611147,0.002346903,0.0004400971,0.00006403754,0.000316356,0.0003894093,0.01041365,0.8602629,0.009859053,0.0007006547,0.1149483],"study_design_scores_gemma":[0.00006864555,0.0004442722,0.01342215,0.00005127559,0.0001373653,0.00159737,0.0003113571,0.3107321,0.6536551,0.006380024,0.01306417,0.000136117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1053909,0.0003521698,0.8905752,0.00005834182,0.00003425835,0.00006171557,0.0001213222,0.0009327643,0.002473184],"genre_scores_gemma":[0.5897629,0.0004154883,0.4074973,0.00003851101,0.00001634821,0.00009799509,0.0001535118,0.00009909312,0.001918797],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001166345,"threshold_uncertainty_score":0.00390178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07282988572268707,"score_gpt":0.3056710873144293,"score_spread":0.2328412015917422,"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."}}