{"id":"W2060047893","doi":"10.1145/2037636.2037644","title":"Liquid simulation with mesh-based surface tracking","year":2011,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer graphics (images); Surface (topology); Tracking (education); Computer graphics; Fluid simulation; Graphics; Visualization; Field (mathematics); Computational science; Artificial intelligence; Geometry; Physics; Mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001492336,0.00008810876,0.00007703485,0.0000820217,0.00006762944,0.00008486334,0.0003575206,0.00003300912,0.00003379964],"category_scores_gemma":[0.000003714155,0.0000690306,0.00002881775,0.0004017534,0.00001950408,0.0003690499,0.00005373094,0.00004390202,0.000004703085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008449414,"about_ca_system_score_gemma":0.00003413434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003150713,"about_ca_topic_score_gemma":0.000008553126,"domain_scores_codex":[0.9993328,0.00002958272,0.0001268369,0.0002259874,0.000160746,0.0001240254],"domain_scores_gemma":[0.9993889,0.00004042074,0.00005514528,0.0003258025,0.0001424687,0.00004723864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002713949,0.0001227143,0.002341254,0.000009918158,0.00001010586,0.000006542919,0.0008298464,0.003935623,0.0001805844,0.9884912,0.00008329458,0.003961806],"study_design_scores_gemma":[0.0001322654,0.0003567199,0.001153404,0.00001425211,0.000002011753,7.539655e-7,0.000003182944,0.9596337,0.03674298,0.001390585,0.0004326303,0.0001374922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02428628,0.000007098934,0.9725316,0.00004079006,0.00004136555,0.000101508,1.785504e-7,0.0006918836,0.002299306],"genre_scores_gemma":[0.8572888,0.000001083596,0.1423697,0.0002966737,0.000007579204,0.000002021175,9.345245e-7,0.000006123727,0.00002702807],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9871006,"threshold_uncertainty_score":0.2814986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05537071800415633,"score_gpt":0.2939961538590288,"score_spread":0.2386254358548725,"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."}}