{"id":"W1733003854","doi":"10.1109/aps.2002.1018170","title":"A gaussian bearn excitation for FDTD","year":2005,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Finite-difference time-domain method; Excitation; Gaussian; Computer science; Physics; Optics; Quantum mechanics","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":[0.00005849659,0.00004274743,0.00004956523,0.00002713493,0.00001638025,0.000008302361,0.0000256998,0.00003827033,0.0003390406],"category_scores_gemma":[0.00002850578,0.00003898318,0.00002417361,0.00006944982,0.000004187096,0.00004021118,0.000001536019,0.00003995251,0.00004214667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001477206,"about_ca_system_score_gemma":0.000002070828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.081554e-7,"about_ca_topic_score_gemma":0.000002599482,"domain_scores_codex":[0.9997257,0.000007293082,0.00007978216,0.00005082236,0.00003693424,0.00009947395],"domain_scores_gemma":[0.9998114,0.00008720126,0.000004967731,0.00005059229,0.00001160338,0.00003427383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009410509,0.00001949785,0.00007431746,0.00002487896,0.00001511182,1.178954e-7,0.0001887746,0.02036575,0.02634081,0.0130339,0.006989867,0.9329376],"study_design_scores_gemma":[0.0003948665,0.00008724574,0.004019461,0.000002871666,0.000006412133,9.899688e-7,0.00001515399,0.8200307,0.006458095,0.002671517,0.1661895,0.0001232323],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03278708,0.0001335266,0.9214251,0.0008275429,0.00009622169,0.0001574608,7.081623e-7,0.0003499699,0.0442224],"genre_scores_gemma":[0.6993156,0.00000592104,0.2985385,0.000231971,0.0001110656,0.00002132425,0.000002952403,0.00001173589,0.001760896],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9328143,"threshold_uncertainty_score":0.3712257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133912211345371,"score_gpt":0.280435011016229,"score_spread":0.2670437898816919,"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."}}