{"id":"W1990709752","doi":"10.1049/iet-map:20070118","title":"Graphics hardware accelerated multiresolution time-domain technique: development, evaluation and applications","year":2008,"lang":"en","type":"article","venue":"IET Microwaves Antennas & Propagation","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Finite-difference time-domain method; Computer science; Graphics; Graphics processing unit; Computational science; Acceleration; Computer graphics; Domain (mathematical analysis); Computer graphics (images); Computer engineering; Parallel computing; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007455251,0.0003252119,0.0002624755,0.0007025847,0.0001302153,0.0006453063,0.0005683074,0.0006365927,0.002037253],"category_scores_gemma":[0.001211665,0.0001639147,0.0002475652,0.00109056,0.0003179262,0.0004425411,0.0003430764,0.0004793685,0.000597092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691731,"about_ca_system_score_gemma":0.000390455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005745123,"about_ca_topic_score_gemma":0.0005213376,"domain_scores_codex":[0.9995767,0.0001028865,0.00001693129,0.00002615257,0.0002581397,0.00001919527],"domain_scores_gemma":[0.9993944,0.0001525558,0.00006143768,0.0000966969,0.0002598327,0.00003498194],"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":[0.0003294322,0.0001127876,0.002583585,0.0004976972,0.00005613476,0.0004633234,0.0004253163,0.0620751,0.2353841,0.05376191,0.009388244,0.6349224],"study_design_scores_gemma":[0.00006391879,0.0006813737,0.002158664,0.0001163904,0.00004687651,0.001190545,0.0001502644,0.6992965,0.2003748,0.00568777,0.09016334,0.00006962075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03170585,0.003196,0.9543279,0.0006224951,0.0002466628,0.00009416456,0.00006642728,0.00104275,0.008697812],"genre_scores_gemma":[0.2534301,0.00382908,0.7363443,0.0001007035,0.00006874435,0.0001001211,0.0001287552,0.0001511376,0.005846954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002037253,"threshold_uncertainty_score":0.006815314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791807853681663,"score_gpt":0.2749760873889987,"score_spread":0.2470580088521821,"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."}}