{"id":"W2000486936","doi":"10.1109/taslp.2014.2341913","title":"Explicit Higher-Order FDTD Schemes for 3D Room Acoustic Simulation","year":2014,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Audio Speech and Language Processing","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Stencil; Computer science; Computation; Finite-difference time-domain method; Bandwidth (computing); Memory bandwidth; Algorithm; Implementation; Wideband; Set (abstract data type); Computer engineering; Computational science; Mathematical optimization; Parallel computing; Mathematics; Electronic engineering; Telecommunications; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004526627,0.0003037659,0.000519709,0.0003378462,0.0003209451,0.0006776778,0.0009914322,0.0007983319,0.006000691],"category_scores_gemma":[0.001606013,0.0002787173,0.0005691197,0.000491934,0.0003017322,0.00077216,0.0006863677,0.001128048,0.001240313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004726895,"about_ca_system_score_gemma":0.0005842001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0028911,"about_ca_topic_score_gemma":0.002733437,"domain_scores_codex":[0.9997738,0.00004736253,0.00001464528,0.00001228612,0.0001319502,0.00001995638],"domain_scores_gemma":[0.9994822,0.0002423174,0.00003662425,0.00008959145,0.0001238665,0.00002545658],"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":[0.00007483733,0.00005922633,0.0007093993,0.0002813667,0.00002523489,0.0002063177,0.0003208626,0.7908577,0.01829318,0.100178,0.005469442,0.0835244],"study_design_scores_gemma":[0.000008234645,0.000007061424,0.00005418606,0.00001337536,0.000002582965,0.00003406545,0.00001066281,0.986486,0.002175733,0.003639292,0.007560368,0.000008402924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005728061,0.000312174,0.9886383,0.0001052918,0.0000726213,0.00002663824,0.000117139,0.0005451415,0.00445454],"genre_scores_gemma":[0.2274137,0.0008554301,0.7588742,0.0001317544,0.00004616467,0.0002410028,0.0004446191,0.0003700205,0.01162301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006000691,"threshold_uncertainty_score":0.02007431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512831144713437,"score_gpt":0.2907814557740018,"score_spread":0.2756531443268674,"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."}}