{"id":"W2125645651","doi":"10.1109/tmag.2003.810520","title":"Optimization of microwave devices using 3-D finite elements and the design sensitivity of the frequency response","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Finite element method; Microwave; Transformer; Electrical impedance; Sensitivity (control systems); Materials science; Frequency response; Waveguide; Scattering parameters; Scattering; Acoustics; Optics; Computer science; Electronic engineering; Physics; Optoelectronics; Electrical engineering; Voltage; Telecommunications; 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":[0.0005478249,0.0007765331,0.0005377244,0.0003285699,0.000291507,0.0006055179,0.0003225862,0.0006260307,0.001546275],"category_scores_gemma":[0.001636923,0.0006168504,0.0005610743,0.0002597628,0.000495697,0.0005545941,0.0004315328,0.0005716986,0.0003544811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005887459,"about_ca_system_score_gemma":0.0004718083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009580402,"about_ca_topic_score_gemma":0.001699507,"domain_scores_codex":[0.9997675,0.00007085998,0.000009864996,0.00002628815,0.0001080014,0.00001745522],"domain_scores_gemma":[0.9993886,0.0004493555,0.00004331037,0.00004951551,0.00005973439,0.000009436872],"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":[0.00002874602,0.00002117051,0.0002446179,0.00007627125,0.00002497021,0.00002385521,0.00003654366,0.9556065,0.02255101,0.00558233,0.000353219,0.01545079],"study_design_scores_gemma":[0.000006361036,0.00001738451,0.0001374576,0.000005660094,0.000006049966,0.00001660465,0.000008589623,0.9851834,0.01122283,0.001990171,0.001397372,0.000008185777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03505355,0.0001246685,0.9588261,0.0001352856,0.00002267187,0.0000441809,0.00007414166,0.0004237475,0.005295665],"genre_scores_gemma":[0.5002177,0.0002890915,0.4945128,0.00008445686,0.00001733597,0.0003648001,0.0001745597,0.0003291427,0.00401005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001546275,"threshold_uncertainty_score":0.005172789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650205056053862,"score_gpt":0.2094267483301089,"score_spread":0.1929246977695702,"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."}}