{"id":"W2594099343","doi":"","title":"Dielectric resonator filter design exploiting space mapping optimization","year":2002,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"COM DEV International","funders":"","keywords":"Space mapping; Dielectric resonator; HFSS; Filter (signal processing); Filter design; Electronic engineering; Dielectric; Computer science; Dielectric resonator antenna; Resonator; Optimal design; Prototype filter; Coupling (piping); Control theory (sociology); Algorithm; Engineering; Physics; Telecommunications; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007730354,0.0002233268,0.0001610203,0.000458689,0.00008728651,0.00004864016,0.0002088743,0.0002050422,0.00006587472],"category_scores_gemma":[0.0000244065,0.0002414304,0.0000293908,0.0004349,0.00005559045,0.0000466678,0.00003312247,0.0003404928,0.00003471542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007033196,"about_ca_system_score_gemma":0.000002671906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.488302e-7,"about_ca_topic_score_gemma":1.801216e-7,"domain_scores_codex":[0.9990141,0.000008206415,0.000228546,0.0002689268,0.000133929,0.0003463147],"domain_scores_gemma":[0.9996567,0.00005985832,0.00003821409,0.0001565941,0.00004035834,0.00004828743],"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":[0.00001922056,0.00005292246,0.00003208573,0.00002362001,0.00008797769,0.00001449129,0.0001240592,0.09929088,0.8780526,0.01572939,0.00125448,0.005318296],"study_design_scores_gemma":[0.0003851225,0.0001543903,0.00002922005,0.0000421968,0.0000118684,0.0000701208,0.00002681798,0.9133344,0.08056916,0.0005471573,0.004505703,0.00032384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1292107,0.001857499,0.8421696,0.003453386,0.0004373648,0.0004146921,0.000008796555,0.002125029,0.02032288],"genre_scores_gemma":[0.9791772,0.001655067,0.0184525,0.0001101928,0.00009260556,0.0000490008,0.000007895023,0.00004805827,0.0004074314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8499666,"threshold_uncertainty_score":0.9845247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004810159969601,"score_gpt":0.1806725267492117,"score_spread":0.1706244251495156,"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."}}