{"id":"W2049693994","doi":"10.1080/02726340601166233","title":"Adjoint Sensitivity Analysis of Dielectric Discontinuities Using FDTD","year":2007,"lang":"en","type":"article","venue":"Electromagnetics","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Finite-difference time-domain method; Classification of discontinuities; Finite difference; Sensitivity (control systems); Finite difference method; Mathematics; Function (biology); Grid; Applied mathematics; Variable (mathematics); Mathematical analysis; Geometry; Physics; Optics; Electronic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006437951,0.0002070698,0.0004917175,0.000612664,0.0000460757,0.00001747601,0.00008718461,0.0001037626,0.0001218894],"category_scores_gemma":[0.0001174503,0.0002148485,0.0002021086,0.002577004,0.00006788943,0.00005363585,0.0000186163,0.0002124309,0.000002234725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009038202,"about_ca_system_score_gemma":0.00002064484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003859198,"about_ca_topic_score_gemma":0.0001035082,"domain_scores_codex":[0.9984279,0.00009308536,0.0004773812,0.0001944925,0.0002596585,0.000547438],"domain_scores_gemma":[0.9989722,0.0004806698,0.00007949638,0.0002701149,0.00008878618,0.0001087118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003015728,0.00006192145,0.002091688,0.0000321015,0.0005414999,0.00001449303,0.0002626172,0.02880348,0.9251485,0.001084391,0.00003781088,0.04189131],"study_design_scores_gemma":[0.0002548451,0.0005142698,0.07148091,0.000008887966,0.000986821,0.00001239523,0.00003748614,0.7539492,0.1718083,0.0003191925,0.0002646578,0.0003630308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8018684,0.0009952402,0.1931031,0.00001077155,0.00008838438,0.00009937859,0.000004296983,0.0001495735,0.003680754],"genre_scores_gemma":[0.975454,0.00007478181,0.02420743,0.00003172092,0.00006066391,0.000001389681,0.000008480491,0.00003236948,0.000129189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7533402,"threshold_uncertainty_score":0.8761268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318905248014511,"score_gpt":0.2708011104942042,"score_spread":0.2576120580140591,"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."}}