{"id":"W1984863278","doi":"10.1145/2661229.2661261","title":"A PPPM fast summation method for fluids and beyond","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Computer science; Computational science; Grid; Rendering (computer graphics); Multigrid method; Mathematical optimization; Algorithm; Applied mathematics; Parallel computing; Partial differential equation; Mathematics; Geometry; Mathematical analysis; Computer graphics (images)","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":[0.0007203165,0.0008884579,0.0008212266,0.0007779925,0.00109446,0.001164257,0.00213581,0.001420574,0.009709742],"category_scores_gemma":[0.002354566,0.0005659277,0.001198714,0.0009666285,0.0006538763,0.001720789,0.002199361,0.002219476,0.004355778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006870885,"about_ca_system_score_gemma":0.002172311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002373275,"about_ca_topic_score_gemma":0.002186744,"domain_scores_codex":[0.9994215,0.00008904853,0.00003027338,0.00005201243,0.0003728147,0.00003446951],"domain_scores_gemma":[0.9994339,0.0001705866,0.00003414356,0.00009090242,0.000221703,0.00004868473],"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":[0.0001084864,0.0001191207,0.0008567119,0.0007042497,0.00009997544,0.0005079782,0.0003965727,0.1646069,0.02479281,0.3324868,0.06499357,0.410327],"study_design_scores_gemma":[0.00004747826,0.00002944093,0.0001480095,0.00006198063,0.00001528171,0.0002363066,0.00002328751,0.8644527,0.005531823,0.05428091,0.07513843,0.00003441881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001209976,0.0005185551,0.9906073,0.0002669507,0.000333655,0.0000514596,0.0001296367,0.001405491,0.005477],"genre_scores_gemma":[0.03106303,0.0008859251,0.9520353,0.0003177875,0.000254311,0.000384628,0.0004679213,0.001406597,0.01318443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009709742,"threshold_uncertainty_score":0.03248233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047971055322465,"score_gpt":0.2557255236867847,"score_spread":0.2452458131335601,"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."}}