{"id":"W2003787206","doi":"10.1364/josaa.22.001341","title":"Comparison of vector finite-difference techniques for modal analysis","year":2005,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Classification of discontinuities; Grid; Refractive index; Boundary (topology); Boundary value problem; Optics; Finite difference; Modal; Point (geometry); Finite difference method; Field (mathematics); Regular grid; Dielectric; Mathematical analysis; Mathematics; Physics; Geometry; Materials science; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001962034,0.00008722497,0.0004958699,0.00003753408,0.00002532612,0.000006087264,0.0002246252,0.00006206958,0.00004025234],"category_scores_gemma":[0.0001855909,0.00005887559,0.0007290233,0.0004786875,0.0001347999,0.00003041099,0.00002010866,0.0001937389,2.338617e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004078821,"about_ca_system_score_gemma":0.00001687138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002702614,"about_ca_topic_score_gemma":1.658977e-7,"domain_scores_codex":[0.9990275,0.00003549083,0.0005185548,0.00005531983,0.000230966,0.0001321613],"domain_scores_gemma":[0.9986942,0.0007239974,0.0002569937,0.0001253311,0.0001392979,0.00006016895],"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":[0.0001578693,0.0005899346,0.005009861,0.0001734971,0.002109643,1.220969e-7,0.001800092,0.3559674,0.3145522,0.0002178676,0.003427826,0.3159937],"study_design_scores_gemma":[0.0002226485,0.0005169627,0.008290246,0.00002581053,0.0004286881,0.000001030517,0.000114496,0.8880002,0.1002957,0.0002220428,0.00179162,0.00009046769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.130754,0.0003062613,0.8672845,0.0012408,0.00004948228,0.00009872557,0.000004540896,0.00002034432,0.0002413108],"genre_scores_gemma":[0.6098061,0.00003195784,0.390031,0.00005981031,0.00004645065,0.00000126742,1.966524e-7,0.000005773146,0.00001744148],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5320328,"threshold_uncertainty_score":0.2400877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177958783190372,"score_gpt":0.3300364792068038,"score_spread":0.3082568913749001,"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."}}