{"id":"W2093691272","doi":"10.1109/antem.2010.5552470","title":"Multi-fidelity optimization of microwave structures using low-order local Cauchy-Approximation surrogates","year":2010,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Discretization; Cauchy distribution; Space mapping; Mathematical optimization; Computer science; Algorithm; Set (abstract data type); Limit (mathematics); Fidelity; Approximation error; Microwave; Surrogate model; Sequence (biology); Space (punctuation); Path (computing); Parameter space; Mathematics; Mathematical analysis; Geometry","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":[0.001109133,0.000536838,0.0007202959,0.0003431439,0.0002562834,0.0007933283,0.0005754198,0.000976542,0.001566616],"category_scores_gemma":[0.002394322,0.000376234,0.0004758897,0.0003425997,0.0006011202,0.0008456925,0.0007944411,0.0008792584,0.0003640908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005366238,"about_ca_system_score_gemma":0.0006169328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006386741,"about_ca_topic_score_gemma":0.0007618636,"domain_scores_codex":[0.9997341,0.0001178712,0.000009458789,0.00002193378,0.0000968434,0.00001982259],"domain_scores_gemma":[0.999218,0.0004822857,0.00006518071,0.0001266526,0.00007979818,0.00002810634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001832649,0.00001277146,0.000111275,0.00001627107,0.00000425004,0.00001617422,0.00001789334,0.9852005,0.001933045,0.007228759,0.0001133642,0.005327376],"study_design_scores_gemma":[0.000001487747,0.000005873651,0.00001318134,0.000001532001,5.03501e-7,0.000003856592,0.000001758536,0.9982538,0.000566287,0.001030977,0.0001194763,0.000001267419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02297003,0.00004906709,0.9737455,0.00009527627,0.000008436499,0.00002047081,0.00003134369,0.0001252487,0.00295458],"genre_scores_gemma":[0.6348153,0.0001536368,0.3605767,0.00006355088,0.00001589821,0.0002193814,0.0001725575,0.0001348757,0.00384811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001566616,"threshold_uncertainty_score":0.005865753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036249210051253,"score_gpt":0.2233418574080593,"score_spread":0.2129793653075468,"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."}}