{"id":"W2105466309","doi":"10.1109/mwsym.2013.6697609","title":"Mode Matching design of substrate integrated waveguide diplexers","year":2013,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diplexer; Attenuation; Waveguide; Substrate (aquarium); Materials science; Insertion loss; Matching (statistics); Eigenmode expansion; Electronic engineering; Optoelectronics; Optics; Physics; Acoustics; Engineering; Mathematics; Normal mode","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":[0.0001035601,0.0001800666,0.0002003473,0.0001008563,0.00001908486,0.00003243401,0.0001443232,0.00007216679,0.0003348782],"category_scores_gemma":[0.00001402758,0.0001550119,0.00005107123,0.0001525815,0.00002240899,0.0001497068,0.00001358612,0.0001294507,0.0001215551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003483268,"about_ca_system_score_gemma":0.00001219455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003993207,"about_ca_topic_score_gemma":0.00000580533,"domain_scores_codex":[0.9991993,0.0000143475,0.0003099924,0.0001207408,0.00009317648,0.0002624771],"domain_scores_gemma":[0.999586,0.00005508784,0.00002060843,0.0002039899,0.00005588154,0.00007844927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001168932,0.000005432843,0.00001402382,0.00004268018,0.0000340339,0.000001059829,0.000152117,0.6177175,0.3775997,0.0005400407,0.003138096,0.0007540794],"study_design_scores_gemma":[0.0001292545,0.00001393259,0.0002243209,0.00004511571,0.000007801015,0.000005033713,0.0001465853,0.774205,0.2238298,0.001021864,0.0001648618,0.0002064884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2820762,0.0001120244,0.7084802,0.00001433903,0.0001411916,0.0001599331,0.000004140447,0.0004989497,0.008513095],"genre_scores_gemma":[0.957656,0.00003625868,0.04155625,0.00001322923,0.00002314579,0.00001606194,0.000008096764,0.00004521387,0.0006457884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6755798,"threshold_uncertainty_score":0.6321204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126718925871764,"score_gpt":0.2039293552173771,"score_spread":0.1912574626302007,"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."}}