{"id":"W2040839052","doi":"10.1109/mwsym.2007.380240","title":"Improving Efficiency of Space Mapping Optimization of Microwave Structures and Devices","year":2007,"lang":"en","type":"article","venue":"IEEE MTT-S International Microwave Symposium digest","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Space mapping; Computer science; Microwave; Space (punctuation); Reduction (mathematics); Optimization problem; Surrogate model; Space technology; Mathematical optimization; Parameter space; Optimization algorithm; Algorithm; Engineering; Mathematics; Aerospace engineering; Telecommunications","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":[0.0004413156,0.0006382896,0.0004294798,0.0003637553,0.0002075052,0.000547697,0.0004615398,0.0004012561,0.001998594],"category_scores_gemma":[0.00111186,0.0002283063,0.0002680143,0.0003705589,0.0002909725,0.0007415702,0.0005475085,0.0004204166,0.0005597781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004065578,"about_ca_system_score_gemma":0.0004041525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006629084,"about_ca_topic_score_gemma":0.001073465,"domain_scores_codex":[0.9997548,0.00006639971,0.000006805823,0.00001766955,0.0001351563,0.00001908868],"domain_scores_gemma":[0.9996868,0.0001522678,0.00003131523,0.00007535826,0.00004604902,0.000008178958],"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":[0.00007965308,0.00008394544,0.0005546024,0.00008622635,0.00002368474,0.0000714201,0.00009798084,0.8032967,0.06480986,0.03548333,0.001517616,0.09389498],"study_design_scores_gemma":[0.000008136318,0.00003601029,0.0001022515,0.00000345486,0.000004483666,0.00002224183,0.00000794947,0.9777295,0.01690183,0.003025006,0.002155248,0.000004061175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07570238,0.0002120049,0.9099334,0.0001742543,0.00002400428,0.00003531286,0.00003126691,0.001227724,0.01265963],"genre_scores_gemma":[0.5905903,0.0002260954,0.4035312,0.00006226256,0.00001776217,0.0000806247,0.0000828733,0.0003832841,0.005025637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001998594,"threshold_uncertainty_score":0.006685972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006290451731329112,"score_gpt":0.2064294449146548,"score_spread":0.2001389931833257,"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."}}