{"id":"W2740654702","doi":"10.1145/3084363.3085080","title":"Compact iso-surface representation and compression for fluid phenomena","year":2017,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Triangulation; Computer science; Surface (topology); Representation (politics); Moving least squares; Algorithm; Polygon mesh; Data compression; Set (abstract data type); Compression (physics); Computer vision; Computational science; Computer graphics (images); Mathematics; Geometry; Applied mathematics; 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":[0.000298719,0.0004915913,0.0004683149,0.0007827108,0.0002322582,0.001089395,0.0008410624,0.0005034441,0.002858659],"category_scores_gemma":[0.001620848,0.0002502063,0.000362601,0.0006848759,0.0008473433,0.001564915,0.0009993608,0.0009374638,0.000628974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003305054,"about_ca_system_score_gemma":0.0003385578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006072507,"about_ca_topic_score_gemma":0.0004117089,"domain_scores_codex":[0.9997161,0.00003997981,0.00001234032,0.00002802258,0.0001855596,0.00001796399],"domain_scores_gemma":[0.9995956,0.0001264861,0.00003801381,0.000141258,0.00008261811,0.00001608862],"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":[0.0002039912,0.00008817056,0.0005799711,0.0002555803,0.00002642963,0.0003543112,0.000547053,0.3091871,0.1782172,0.2133821,0.003882125,0.293276],"study_design_scores_gemma":[0.00001332332,0.00005321198,0.000184837,0.00001084952,0.000005007255,0.0001701749,0.00005388566,0.9403341,0.02941667,0.02112044,0.00862037,0.00001702143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008947565,0.00008819625,0.9890862,0.00007619513,0.00003574468,0.00002267358,0.00003337556,0.000424143,0.001285934],"genre_scores_gemma":[0.3309675,0.0005468107,0.66288,0.0001161328,0.0001052747,0.0001815816,0.000429461,0.000601917,0.004171334],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002858659,"threshold_uncertainty_score":0.009563208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670116621167215,"score_gpt":0.3685301042756951,"score_spread":0.311828938064023,"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."}}