{"id":"W3139455976","doi":"10.1145/2010324.1964978","title":"Guide shapes for high resolution naturalistic liquid simulation","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Resolution (logic); Chaotic; High resolution; Computer graphics (images); Shell (structure); Simulation; Computational science; Artificial intelligence; Mechanical engineering; Geology; Engineering","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":[0.000504542,0.0004820822,0.0004063922,0.0003987749,0.00062006,0.0009723345,0.001065783,0.00127296,0.004584641],"category_scores_gemma":[0.00349791,0.0005274405,0.0004544309,0.0002484207,0.0008832238,0.0007657307,0.001519793,0.001256671,0.0009242169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007055104,"about_ca_system_score_gemma":0.0009195177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002461989,"about_ca_topic_score_gemma":0.00331611,"domain_scores_codex":[0.9997351,0.00008129547,0.00001045898,0.00002542008,0.0001265326,0.00002110862],"domain_scores_gemma":[0.9993211,0.0003391396,0.00004526124,0.0001334294,0.00009469116,0.00006642276],"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":[0.0001309661,0.00007522185,0.0005318913,0.0001160555,0.0000221407,0.0002926204,0.000283786,0.8940079,0.02392727,0.04434687,0.003741809,0.03252351],"study_design_scores_gemma":[0.00001848603,0.00001531145,0.00005154515,0.000008693094,0.000001953585,0.00004787636,0.00001186645,0.9882886,0.002688955,0.004766175,0.004090324,0.00001013461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02600514,0.0001506552,0.9630973,0.0002192546,0.00005203532,0.00009613407,0.00009360188,0.002912988,0.007373069],"genre_scores_gemma":[0.3590274,0.0002858183,0.6341557,0.0002078267,0.00002953756,0.0003668005,0.0002156169,0.001179956,0.004531397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004584641,"threshold_uncertainty_score":0.01533717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05805083339533893,"score_gpt":0.316567916819027,"score_spread":0.258517083423688,"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."}}