{"id":"W2114113716","doi":"10.1145/2504459.2504507","title":"Isosurface stuffing improved","year":2013,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Isosurface; Tetrahedron; Computer science; Discretization; Animation; Computer graphics (images); Molecular graphics; Simple (philosophy); Graphics; Quality (philosophy); Domain (mathematical analysis); Computer graphics; Computational science; Algorithm; Artificial intelligence; Mathematics; Visualization; Geometry; Physics; Mathematical analysis","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":[0.0008339726,0.001037664,0.001227342,0.002014459,0.0007218379,0.002055891,0.00239575,0.001464363,0.01246493],"category_scores_gemma":[0.004638652,0.0004965258,0.001122766,0.00141323,0.0009469962,0.002683036,0.002922248,0.002759976,0.004153689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007196533,"about_ca_system_score_gemma":0.0008587525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987369,"about_ca_topic_score_gemma":0.002792763,"domain_scores_codex":[0.9987741,0.000098923,0.00004962354,0.000112053,0.0008598789,0.0001054],"domain_scores_gemma":[0.9981561,0.0002523816,0.00004931448,0.0006891869,0.0007656503,0.00008730448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002438362,0.0001717149,0.001204165,0.0002922721,0.00005763791,0.0003392094,0.0004113215,0.0759911,0.04737204,0.06793838,0.02472961,0.7812487],"study_design_scores_gemma":[0.00007704251,0.0001289244,0.0009176939,0.00008041994,0.00004183902,0.0007655835,0.0001139787,0.7912108,0.07198448,0.02832003,0.1062247,0.000134333],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01805486,0.0004833554,0.9568152,0.0003972124,0.0004139197,0.0001191825,0.0002103345,0.006798946,0.01670687],"genre_scores_gemma":[0.2516575,0.0006713035,0.7128623,0.0003613686,0.000127603,0.0001971601,0.001540616,0.004842945,0.02773935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01246493,"threshold_uncertainty_score":0.04169941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259905032683193,"score_gpt":0.2589320503061882,"score_spread":0.2463329999793563,"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."}}