{"id":"W2023579944","doi":"10.1109/mwsym.2007.380124","title":"Central-Node Approach for Accurate Self-Adjoint Sensitivity Analysis of Dielectric Structures","year":2007,"lang":"en","type":"article","venue":"IEEE MTT-S International Microwave Symposium digest","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Classification of discontinuities; Dielectric; Grid; Perturbation (astronomy); Sensitivity (control systems); Computer science; Node (physics); Finite difference; Applied mathematics; Mathematical optimization; Mathematics; Electronic engineering; Mathematical analysis; Physics; Geometry; Electrical engineering; Engineering; Acoustics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004322004,0.0002529736,0.0004073461,0.0005497409,0.00005098193,0.00004429797,0.0002014875,0.0001359539,0.00002394949],"category_scores_gemma":[0.00006761829,0.0002527509,0.0003070782,0.0007848,0.00004228719,0.0001001415,0.00002078603,0.0001810369,0.000001444788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214588,"about_ca_system_score_gemma":0.0000258067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003981563,"about_ca_topic_score_gemma":0.00002894566,"domain_scores_codex":[0.9983544,0.00005831459,0.000533726,0.0003217888,0.0002754705,0.0004563395],"domain_scores_gemma":[0.9987528,0.0005456234,0.0001403849,0.0002211802,0.0002185878,0.0001214092],"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":[0.00007494105,0.0001023341,0.001996286,0.00003948603,0.001247928,0.000003705142,0.0002125041,0.222894,0.7704587,0.001240344,0.00009561524,0.001634156],"study_design_scores_gemma":[0.0004442807,0.00006728162,0.03141258,0.000006172599,0.0004113529,0.00001229398,0.000017547,0.4688456,0.4975106,0.0001528504,0.0008239574,0.000295393],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3580339,0.00007641152,0.630474,0.00008701829,0.0007111875,0.0002701275,0.00007756149,0.0001742552,0.01009554],"genre_scores_gemma":[0.9612439,0.00006128411,0.03812229,0.00008964997,0.0002092269,0.00001089052,0.0001382695,0.00003847286,0.00008607997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.60321,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01173807448911296,"score_gpt":0.2678950358010248,"score_spread":0.2561569613119118,"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."}}