{"id":"W4402802589","doi":"10.1109/lmwt.2024.3462729","title":"Dual Band Dual Mode Substrate Integrated Waveguide Filter With Mixed Coupling","year":2024,"lang":"en","type":"article","venue":"IEEE Microwave and Wireless Technology Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Nanjing University of Posts and Telecommunications; National Natural Science Foundation of China","keywords":"Substrate coupling; Dual mode; Waveguide; Coupling (piping); Dual (grammatical number); Materials science; Substrate (aquarium); Multi-band device; Waveguide filter; Optoelectronics; Filter (signal processing); Mixed mode; Electronic engineering; Computer science; Telecommunications; Electrical engineering; Engineering; Prototype filter; Composite material; Filter design; Geology; Art","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":[0.00012679,0.0004951406,0.0004110194,0.0005817142,0.00009810666,0.0001599356,0.0001560426,0.0003482119,0.00001167943],"category_scores_gemma":[0.000004935343,0.0004301541,0.00007061014,0.0005666924,0.0003147346,0.0001608536,0.00002838174,0.000771564,0.00003667738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008521937,"about_ca_system_score_gemma":0.00002907205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002214934,"about_ca_topic_score_gemma":0.00005621691,"domain_scores_codex":[0.9983037,0.000009885859,0.0003726696,0.0005365599,0.0001287768,0.0006484423],"domain_scores_gemma":[0.9994386,0.00006115568,0.00002754556,0.000332209,0.00004185198,0.00009865559],"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":[0.00001353901,0.000009403805,0.00008259247,0.0001930554,0.0002579111,0.0006433475,0.0001517407,0.01471657,0.9744718,0.00031413,0.006043334,0.003102541],"study_design_scores_gemma":[0.0003850563,0.00005365508,0.0000684218,0.0004158812,0.00007325362,0.0007036384,0.0001181703,0.1408028,0.8543091,0.00009492847,0.002363846,0.0006112529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433892,0.001431395,0.05125262,0.0008967397,0.000672161,0.0001683936,0.00006068003,0.001973306,0.0001555069],"genre_scores_gemma":[0.9978276,0.0002634437,0.001319647,0.000114847,0.0001553744,0.00003435138,0.00003668773,0.0001397654,0.0001082192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1260862,"threshold_uncertainty_score":0.999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006614657672309452,"score_gpt":0.1958872195280061,"score_spread":0.1892725618556966,"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."}}