{"id":"W4389334991","doi":"10.1145/3618374","title":"An Adaptive Fast-Multipole-Accelerated Hybrid Boundary Integral Equation Method for Accurate Diffusion Curves","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; University of Toronto","funders":"National Research Foundation of Korea; Canada Research Chairs","keywords":"Discretization; Fast multipole method; Partial differential equation; Boundary element method; Diffusion equation; Mathematics; Boundary (topology); Computer science; Applied mathematics; Algorithm; Mathematical analysis; Finite element method; Multipole expansion","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003838392,0.0004877439,0.0006177409,0.0004288289,0.0004232131,0.000875215,0.001369438,0.0011349,0.003409184],"category_scores_gemma":[0.001394977,0.0003438145,0.0005826684,0.0004271354,0.0004382413,0.001153983,0.001147619,0.00126273,0.00105361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004404736,"about_ca_system_score_gemma":0.0008204979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002473087,"about_ca_topic_score_gemma":0.002394876,"domain_scores_codex":[0.9998092,0.00002773294,0.000007431363,0.00002042977,0.0001201113,0.00001513866],"domain_scores_gemma":[0.9997173,0.0001059161,0.00002059349,0.00002994981,0.0001011817,0.0000250358],"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":[0.000110696,0.0001314715,0.0008995712,0.0002352542,0.0000569815,0.000303224,0.0004121058,0.620458,0.06949148,0.1012325,0.007545616,0.1991231],"study_design_scores_gemma":[0.00000681618,0.000005227248,0.00002155727,0.000005175467,0.000001774549,0.00002549933,0.000005533256,0.994454,0.0009592369,0.001944172,0.002566051,0.000004987794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004110408,0.0001492362,0.9932523,0.0001127499,0.00005368715,0.00002474608,0.00002190553,0.0002701386,0.00200481],"genre_scores_gemma":[0.1003351,0.0002964131,0.8929181,0.0001539285,0.000057625,0.0001452402,0.0001097868,0.0003481685,0.005635767],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003409184,"threshold_uncertainty_score":0.01140481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620493704841672,"score_gpt":0.3263982139723515,"score_spread":0.2801932769239348,"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."}}