{"id":"W2119519674","doi":"10.1109/tmtt.2012.2205937","title":"Analytical Adjoint Sensitivity Formula for the Scattering Parameters of Metallic Structures","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Jacobian matrix and determinant; Finite element method; Sensitivity (control systems); Computation; Maxwell's equations; Matrix (chemical analysis); Applied mathematics; Field (mathematics); Mathematics; Method of moments (probability theory); Mathematical analysis; Scattering; Scattering parameters; Algorithm; Physics; Electronic engineering; Pure mathematics; Engineering; Quantum mechanics; Optics","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":[0.000718169,0.0001860755,0.000212405,0.0001095596,0.00009620436,0.00001796969,0.00006528505,0.00008888569,0.00001039803],"category_scores_gemma":[0.00000984817,0.0001391667,0.0001434561,0.00008217866,0.0001310245,0.00009899963,0.000001711674,0.0001862059,8.680417e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002451957,"about_ca_system_score_gemma":0.000003968107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005323932,"about_ca_topic_score_gemma":0.000002479987,"domain_scores_codex":[0.9993148,0.00005332346,0.0002037045,0.0001155257,0.00006089889,0.0002517232],"domain_scores_gemma":[0.9990849,0.0005918543,0.00002562018,0.0002133284,0.00002430713,0.00006001446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006597098,0.00003115611,0.000003212714,0.0001466906,0.0002409542,4.938869e-7,0.0003221056,0.002451619,0.9362919,0.007455315,0.00007100837,0.05291961],"study_design_scores_gemma":[0.00008410367,0.00004515954,0.00002078957,0.00003648774,0.0001290942,0.00003842566,0.00006521463,0.001954194,0.9945843,0.002531816,0.0003482426,0.0001622336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2886543,0.0002667275,0.7104437,0.00001463533,0.0001185894,0.0002047881,0.00003332762,0.0001871625,0.00007675825],"genre_scores_gemma":[0.9880961,0.0001337569,0.01158719,0.00003780759,0.00003672329,0.00003944576,0.000001515271,0.00003490656,0.0000326015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6994417,"threshold_uncertainty_score":0.5675054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632023383122124,"score_gpt":0.2423348884217479,"score_spread":0.2260146545905266,"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."}}