{"id":"W2810056277","doi":"10.1109/tmtt.2018.2846725","title":"Triple-Band Cavity Bandpass Filters","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chebyshev filter; Resonator; Band-pass filter; Waveguide filter; Prototype filter; Electronic engineering; Filter (signal processing); Coupling (piping); Dielectric resonator; Waveguide; m-derived filter; Materials science; Filter design; Optoelectronics; Engineering; Electrical 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":[0.000226894,0.0005260808,0.0005761212,0.0005511934,0.0003720119,0.0006663145,0.0005982952,0.000825809,0.001585335],"category_scores_gemma":[0.0003287168,0.0002173491,0.000586884,0.0002940536,0.0003716435,0.0005788347,0.000445724,0.0004289637,0.0009398665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003799041,"about_ca_system_score_gemma":0.0002438121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003753999,"about_ca_topic_score_gemma":0.0006230195,"domain_scores_codex":[0.9996787,0.00002729416,0.00001393175,0.00008420627,0.0001319033,0.00006397795],"domain_scores_gemma":[0.9996699,0.00005847466,0.00007740386,0.00005266402,0.0001074447,0.00003405444],"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":[0.0002087915,0.00003772861,0.000577821,0.0001266343,0.00005067163,0.0002932577,0.0001346594,0.003439633,0.9468623,0.0101073,0.0006345487,0.03752666],"study_design_scores_gemma":[0.00003885006,0.000778292,0.003095702,0.00005472475,0.00010423,0.002236937,0.00009323725,0.06539391,0.8939108,0.00249068,0.03170937,0.00009325014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4216366,0.001510675,0.5570637,0.0001430518,0.000174871,0.00006715395,0.0001827074,0.001444832,0.0177764],"genre_scores_gemma":[0.8382246,0.0006796177,0.1549171,0.0001025444,0.00006677168,0.00007589442,0.0001357182,0.0001270573,0.005670635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001585335,"threshold_uncertainty_score":0.005303502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007752983798014185,"score_gpt":0.2185399887546672,"score_spread":0.210787004956653,"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."}}