{"id":"W2143234838","doi":"10.1109/tmtt.2002.805131","title":"Feasible adjoint sensitivity technique for EM design optimization","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Sensitivity (control systems); Adjoint equation; Nonlinear system; Overhead (engineering); Computer science; Frequency domain; Electronic engineering; Mathematical optimization; Mathematics; Mathematical analysis; Engineering; Physics; Partial differential equation","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":[0.000529956,0.0001734543,0.0001829475,0.0001367268,0.0002486731,0.00004929476,0.00005190601,0.000065423,0.0002780213],"category_scores_gemma":[0.000002027285,0.0001679895,0.0001263763,0.0001394516,0.00005954467,0.00008117279,0.000001105841,0.0001471749,0.000003853847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001761817,"about_ca_system_score_gemma":0.000007255636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009690402,"about_ca_topic_score_gemma":0.000001250525,"domain_scores_codex":[0.999126,0.0002036964,0.0001596369,0.0002592863,0.00005443479,0.0001969484],"domain_scores_gemma":[0.9994237,0.0002315829,0.00005675566,0.0001850152,0.0000520492,0.00005083152],"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":[0.00008052935,0.0002294119,0.000002526385,0.00001430956,0.00008443891,0.00000103403,0.0001486833,0.002313243,0.8706935,0.001967919,0.0002274145,0.124237],"study_design_scores_gemma":[0.0001439472,0.0002512415,4.455815e-7,0.00004055228,0.00009463992,0.000009508365,0.0000619456,0.002247265,0.9856251,0.01126668,0.00006495726,0.0001936854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004899994,0.00002969709,0.9935155,0.00007995142,0.00002144817,0.000501944,0.00002993521,0.000163727,0.0007578327],"genre_scores_gemma":[0.8945005,0.0000336979,0.1041073,0.0000665756,0.000041929,0.0002931496,0.000004391969,0.00002418732,0.0009282677],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8896005,"threshold_uncertainty_score":0.6850411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530245320209033,"score_gpt":0.2321793750069427,"score_spread":0.2168769218048524,"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."}}