{"id":"W2316496846","doi":"10.1109/iceaa.2014.6903950","title":"A unified implementation of the perfectly matched layer in the finite-element time-domain method","year":2014,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Perfectly matched layer; Stability (learning theory); Finite element method; Domain (mathematical analysis); Computer science; Layer (electronics); Algorithm; Time domain; Mathematics; Materials science; Engineering; Mathematical analysis; Structural engineering; Machine learning","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":[0.001104484,0.00007970605,0.0001161093,0.00003816,0.00002482118,0.00001055992,0.0001526543,0.00002861093,0.0008226874],"category_scores_gemma":[0.00004719671,0.00004496583,0.00004546002,0.0003015778,0.00001115791,0.00002166802,0.00001604814,0.00008988134,0.0000114542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000197783,"about_ca_system_score_gemma":0.000006776942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006256214,"about_ca_topic_score_gemma":0.00003862468,"domain_scores_codex":[0.9989043,0.0004990541,0.0002272917,0.00007911235,0.0001494266,0.0001408398],"domain_scores_gemma":[0.9989989,0.0007387966,0.00002990971,0.0002012301,0.00001500533,0.00001611311],"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":[0.00004111397,0.0001333556,0.007417444,0.0001116571,0.0000993857,7.228078e-7,0.009678805,0.1199056,0.5567322,0.03505867,0.002704485,0.2681166],"study_design_scores_gemma":[0.002248029,0.0003861692,0.1155128,0.00001802662,0.00004792216,0.00000307971,0.002173004,0.6631364,0.1909534,0.01398471,0.01119578,0.0003407095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4435232,0.00002110119,0.5393241,0.001233148,0.00008089061,0.0004835646,0.000001883495,0.00006949168,0.01526268],"genre_scores_gemma":[0.9475496,0.000001844938,0.0518961,0.0003819666,0.00001823545,0.00002363895,0.000002059546,0.00001035018,0.0001162297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5432308,"threshold_uncertainty_score":0.900785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426521220834459,"score_gpt":0.3090146151209183,"score_spread":0.2947494029125737,"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."}}