{"id":"W2119653137","doi":"10.1109/rawcon.2003.1227973","title":"Substrate integrated waveguide dual-mode filters for broadband wireless systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Return loss; Insertion loss; Center frequency; Materials science; Microstrip; Planar; Broadband; Waveguide; Filter (signal processing); Dual mode; Substrate (aquarium); Waveguide filter; Optoelectronics; Band-pass filter; Transmission loss; Electronic engineering; Optics; Acoustics; Low-pass filter; Physics; Prototype filter; Telecommunications; Computer science; Electrical engineering; Engineering; Antenna (radio)","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":[0.0002616399,0.0004486854,0.0002307031,0.0002779303,0.0001465277,0.0005239395,0.0004230618,0.0006016868,0.001315555],"category_scores_gemma":[0.000228309,0.0002167618,0.0002476252,0.0003221569,0.0001619434,0.0006036636,0.0001549416,0.0003723101,0.0006767978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003837455,"about_ca_system_score_gemma":0.0002622208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004955629,"about_ca_topic_score_gemma":0.001412982,"domain_scores_codex":[0.9998846,0.00002077561,0.000004517523,0.00002354924,0.00004718874,0.00001928577],"domain_scores_gemma":[0.9998378,0.00003021571,0.00003570073,0.00001657624,0.00006802024,0.00001163516],"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":[0.000188197,0.00004315426,0.0007450745,0.0001355639,0.000029561,0.0001206954,0.0000303006,0.001514883,0.9461181,0.005974309,0.0009490064,0.04415117],"study_design_scores_gemma":[0.00007767921,0.0009980786,0.002463397,0.00003739319,0.0001026342,0.0007711495,0.0000484989,0.05960774,0.8996796,0.001102893,0.03507232,0.00003864653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4519671,0.01340101,0.5089993,0.0006874439,0.00041027,0.0001043533,0.0002461808,0.001573549,0.02261079],"genre_scores_gemma":[0.7554666,0.004180331,0.2282997,0.00017127,0.000138882,0.00007747527,0.0002657774,0.00006965778,0.01133024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001315555,"threshold_uncertainty_score":0.004401028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131340082992136,"score_gpt":0.2175388508330997,"score_spread":0.2062254500031783,"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."}}