{"id":"W2085419112","doi":"10.1145/1778765.1778784","title":"Matching fluid simulation elements to surface geometry and topology","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Voronoi diagram; Polygon mesh; Delaunay triangulation; Interpolation (computer graphics); Surface (topology); Topology (electrical circuits); Computer science; Mesh generation; Geometry; Geometry processing; Bowyer–Watson algorithm; Computational science; Algorithm; Computer graphics (images); Mathematics; Finite element method; Computer vision; Physics; Motion (physics)","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":[0.0007489527,0.000542709,0.0008073158,0.001047402,0.000541455,0.001811269,0.001684106,0.001106932,0.00276399],"category_scores_gemma":[0.006537491,0.0006305463,0.000596216,0.0007735751,0.001020034,0.001586465,0.002528708,0.000997895,0.001031336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008619916,"about_ca_system_score_gemma":0.001291138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003633902,"about_ca_topic_score_gemma":0.002324692,"domain_scores_codex":[0.9991263,0.0001592618,0.00004461108,0.0001085713,0.0004836146,0.000077663],"domain_scores_gemma":[0.9990963,0.0003109056,0.00008077449,0.00023042,0.0002145221,0.00006712528],"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":[0.00005615946,0.0000433003,0.0007823996,0.00006027984,0.00001683667,0.00009477483,0.0001741473,0.8694052,0.01680076,0.0749071,0.000670502,0.03698853],"study_design_scores_gemma":[0.000008121684,0.00001298433,0.00008708664,0.000005520957,0.000002419281,0.00002613065,0.00002225447,0.9744207,0.005581322,0.01524204,0.004582357,0.00000909504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006443133,0.00001967161,0.9922638,0.0000350738,0.00001711453,0.00003453263,0.00004144235,0.0003031468,0.0008421124],"genre_scores_gemma":[0.2720681,0.0001667753,0.7242813,0.0000624005,0.00003248714,0.0002647118,0.0003297419,0.000559625,0.002234892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003633902,"threshold_uncertainty_score":0.009246469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050762538561741,"score_gpt":0.3162636864741508,"score_spread":0.2957560610885334,"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."}}