{"id":"W2142649766","doi":"10.1002/fld.620","title":"A computational Lagrangian–Eulerian advection remap for free surface flows","year":2003,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Volume of fluid method; Advection; Laminar flow; Unstructured grid; Turbulence; Mechanics; Solver; Computer science; Eulerian path; Finite volume method; Computational fluid dynamics; Flow (mathematics); Geometry; Algorithm; Mathematics; Computational science; Physics; Applied mathematics; Mathematical optimization; Lagrangian; Thermodynamics","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":[0.0007172785,0.0004962871,0.0005853491,0.00055356,0.0004143353,0.0006351107,0.001352274,0.0007626732,0.001780989],"category_scores_gemma":[0.001500905,0.00037819,0.0006618734,0.0003546939,0.0004974953,0.0007164266,0.0009878479,0.0007557872,0.0005129923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004288852,"about_ca_system_score_gemma":0.0008068178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596298,"about_ca_topic_score_gemma":0.002909842,"domain_scores_codex":[0.9997705,0.0000540554,0.00001533926,0.00002537745,0.0001109495,0.00002380671],"domain_scores_gemma":[0.9995528,0.0001721182,0.00004081217,0.00007843064,0.000124908,0.00003087805],"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":[0.00014934,0.00006560182,0.001156342,0.0001302185,0.00005369482,0.0001731308,0.0001451387,0.7777479,0.01694682,0.02387017,0.002948139,0.1766135],"study_design_scores_gemma":[0.00001328686,0.00001339102,0.00007684293,0.000004670497,0.000001845389,0.0000214302,0.000005261758,0.9931866,0.002204966,0.002063094,0.002401564,0.000007096978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01060719,0.00009788021,0.9872255,0.00005251541,0.00003451133,0.00004016816,0.0000603061,0.00086998,0.001011925],"genre_scores_gemma":[0.1406071,0.00007256364,0.8564166,0.00003665522,0.00001565766,0.0001482311,0.0002665686,0.0002226285,0.002214053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003596298,"threshold_uncertainty_score":0.007150769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504617989138455,"score_gpt":0.3741522991609442,"score_spread":0.3491061192695597,"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."}}