{"id":"W2971649020","doi":"10.1109/mwsym.2019.8700945","title":"A Compact Waveguide Quasi-Elliptic Dual-Band Filter","year":2019,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Filter (signal processing); Waveguide filter; Footprint; Multi-band device; Resonator; Physics; Band-pass filter; Topology (electrical circuits); Elliptic filter; Dual (grammatical number); m-derived filter; Prototype filter; Filter design; Computer science; Optics; Telecommunications; Electrical engineering; Engineering; Geology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001051574,0.0002046298,0.0002231285,0.00009055379,0.00001968274,0.00004758284,0.0001012295,0.00007481425,0.001584608],"category_scores_gemma":[0.000009980642,0.0001806913,0.00008320858,0.0001150858,0.00001293048,0.00009241802,0.00001031734,0.0001481494,0.002575204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000447295,"about_ca_system_score_gemma":0.000007781837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126936,"about_ca_topic_score_gemma":0.000003554028,"domain_scores_codex":[0.999136,0.000008885767,0.0002228379,0.000171352,0.000121459,0.0003394546],"domain_scores_gemma":[0.999478,0.00004557225,0.00001173474,0.000340899,0.00002075403,0.0001029791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001678627,0.0001113074,0.002616364,0.0006875082,0.0003530724,0.00005185749,0.0008083345,0.2605696,0.4639604,0.004903114,0.2639359,0.001985775],"study_design_scores_gemma":[0.001022511,0.0001473689,0.003843793,0.0001477703,0.00003328808,0.0001042867,0.0001073781,0.5627589,0.1935352,0.0002145326,0.2370088,0.001076223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7224128,0.0005945207,0.01772673,0.0001216479,0.001041491,0.0002296235,0.00001097645,0.001196896,0.2566653],"genre_scores_gemma":[0.9831479,0.00002868395,0.0007034063,0.00007269754,0.0001173558,0.000002267791,0.00001104051,0.00005610649,0.01586059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3021893,"threshold_uncertainty_score":0.9993281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009002560511680349,"score_gpt":0.2006359690052404,"score_spread":0.1916334084935601,"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."}}