{"id":"W4386472838","doi":"10.1109/tmtt.2023.3308212","title":"Dual-Band Substrate Integrated Waveguide Filter With Independent TE<sub>101</sub> and TE<sub>102</sub> Coupling","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Nanjing University of Posts and Telecommunications; National Natural Science Foundation of China","keywords":"Coupling (piping); Multi-band device; Spurious relationship; Substrate coupling; Waveguide; Electronic engineering; Microwave; Band-pass filter; Waveguide filter; Flexibility (engineering); Enhanced Data Rates for GSM Evolution; Filter (signal processing); Electronic circuit; Optoelectronics; Materials science; Substrate (aquarium); Computer science; Electrical engineering; Engineering; Prototype filter; Telecommunications; Filter design; Antenna (radio); Mathematics","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":[0.0008209971,0.0006375238,0.0004844917,0.0005969435,0.000299905,0.0001663151,0.0001507605,0.0003473065,0.00001827484],"category_scores_gemma":[0.000009888671,0.0005738668,0.0001158124,0.0005601574,0.0002481043,0.0002536953,0.000006198268,0.0008266128,0.0000292266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009586646,"about_ca_system_score_gemma":0.00003955812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001558416,"about_ca_topic_score_gemma":0.000106024,"domain_scores_codex":[0.9979964,0.00007716835,0.000500703,0.0005875006,0.0002118545,0.0006263693],"domain_scores_gemma":[0.998935,0.0002714716,0.00006701123,0.0004132907,0.00009908411,0.0002140889],"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":[0.0001537497,0.000044761,0.000008615037,0.0001800908,0.0001932848,0.00008027996,0.0004406533,0.003812936,0.9646116,0.0002594406,0.0003387286,0.0298759],"study_design_scores_gemma":[0.000468844,0.0002059359,0.0000455072,0.0004565737,0.0001166429,0.0002290278,0.000373916,0.001949147,0.9940249,0.001085432,0.0003410298,0.0007030818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.745652,0.0003371649,0.2510949,0.00003009774,0.0001669446,0.0003843695,0.0000987688,0.001929559,0.0003062401],"genre_scores_gemma":[0.9967713,0.00207536,0.0005509153,0.00007240217,0.00007105827,0.0001279462,0.00003484934,0.0001741497,0.0001220172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2511193,"threshold_uncertainty_score":0.9996713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008716003264891355,"score_gpt":0.2062460585661865,"score_spread":0.1975300553012951,"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."}}