{"id":"W2882970796","doi":"10.1109/tmtt.2018.2854170","title":"Phase De-Embedding of Narrowband Coupled- Resonator Networks by Vector Fitting","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Xidian University; Polytechnique Montréal","keywords":"Narrowband; Resonator; Diplexer; Band-pass filter; Topology (electrical circuits); Electronic engineering; Phase shift module; Scattering parameters; Coupling (piping); Filter (signal processing); Computer science; Microwave; Algorithm; Mathematics; Physics; Engineering; Telecommunications; Electrical engineering; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005994251,0.0002239481,0.0002320271,0.0001344563,0.0001362559,0.00002647501,0.0001119871,0.0001693594,0.00006211577],"category_scores_gemma":[0.000008785045,0.0002316437,0.00007563586,0.0001546769,0.0001766055,0.00008566432,0.000001600579,0.0002859583,0.000002288169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000473403,"about_ca_system_score_gemma":0.00001042662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006064677,"about_ca_topic_score_gemma":0.000002555177,"domain_scores_codex":[0.9991021,0.00006189883,0.0002760623,0.0001980462,0.00006936386,0.0002925484],"domain_scores_gemma":[0.9994214,0.0001991636,0.0000394142,0.0002034763,0.00004828252,0.00008830753],"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":[0.00008758972,0.00007494952,6.812525e-7,0.0000649576,0.00006376593,0.000001857825,0.0003315725,0.0007971419,0.9760857,0.0003256704,0.0009683446,0.02119782],"study_design_scores_gemma":[0.0003500248,0.0002863163,4.842262e-7,0.0001722411,0.00003708716,0.00002656965,0.0000534629,0.02132158,0.9758148,0.00048675,0.001219866,0.0002308648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2990804,0.0005622102,0.6993115,0.000006098302,0.0001120352,0.0001118323,0.00003253933,0.0004569786,0.0003263975],"genre_scores_gemma":[0.9943122,0.0003230113,0.004992905,0.00003933455,0.00009612877,0.00002280214,0.000003539744,0.00006016784,0.0001498731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6952318,"threshold_uncertainty_score":0.9446154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006135108332927246,"score_gpt":0.2452324058432354,"score_spread":0.2390972975103082,"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."}}