{"id":"W2027908591","doi":"10.1002/mop.28021","title":"High selective <i>H</i>‐plane TE dual mode cavity filter design by using nonresonating nodes","year":2013,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Dual mode; Microwave; Filter (signal processing); Coupling (piping); Topology (electrical circuits); Plane (geometry); Mode (computer interface); Matrix (chemical analysis); Point (geometry); Dual (grammatical number); Physics; Electronic engineering; Engineering; Computer science; Mathematics; Materials science; Electrical engineering; Telecommunications; Geometry; Mechanical engineering","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":[0.0001367698,0.0004879957,0.0002613296,0.0001325621,0.0001741392,0.0004739051,0.0005587139,0.0002957819,0.001043391],"category_scores_gemma":[0.0001580854,0.0002547904,0.0002484041,0.00009492847,0.0002381247,0.0003882581,0.0001961453,0.0002048258,0.0003936793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005025999,"about_ca_system_score_gemma":0.0003177456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009106841,"about_ca_topic_score_gemma":0.001924582,"domain_scores_codex":[0.9999202,0.00001906423,0.000002260871,0.00002017763,0.00002642348,0.00001178287],"domain_scores_gemma":[0.9999326,0.00001501007,0.00001669019,0.00000923922,0.00001917629,0.000007197886],"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":[0.0001840109,0.0000599686,0.0006786695,0.0001241497,0.0000476529,0.0001596864,0.00008729182,0.08497629,0.8761686,0.01850299,0.0008864872,0.01812422],"study_design_scores_gemma":[0.00004970121,0.0003351971,0.0006861629,0.00001858238,0.00003516316,0.0001943921,0.00003360416,0.7764401,0.2128406,0.003020655,0.006318637,0.00002713728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.263577,0.0002820418,0.7213488,0.000193026,0.00003838383,0.00005466352,0.00007387635,0.000425629,0.01400656],"genre_scores_gemma":[0.8463601,0.0001932961,0.14803,0.00003825682,0.00001457292,0.00005326229,0.00006214037,0.00005621972,0.00519233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001043391,"threshold_uncertainty_score":0.003646672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008525113784709317,"score_gpt":0.1965858151980454,"score_spread":0.1880607014133361,"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."}}