{"id":"W2035982968","doi":"10.1145/1230100.1230128","title":"Real-time mesh simplification using the GPU","year":2007,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Rendering (computer graphics); Octree; Parallel computing; Polygon mesh; Graphics hardware; General-purpose computing on graphics processing units; Graphics pipeline; Cluster analysis; Computational science; Data structure; Graphics; Computer graphics (images); Algorithm; Artificial intelligence; 3D computer graphics","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":[0.0007772437,0.00006223629,0.00006082136,0.00009170423,0.0001654783,0.0001520514,0.0005462993,0.0000245944,0.00001215712],"category_scores_gemma":[0.000005672119,0.00004286905,0.00003574351,0.0005186026,0.00002151838,0.0001765594,0.0001455362,0.00003758542,0.000008511491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002148745,"about_ca_system_score_gemma":0.00002848497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008062014,"about_ca_topic_score_gemma":0.000004452938,"domain_scores_codex":[0.9993126,0.00003113914,0.0001808341,0.0001733548,0.0001558661,0.0001461661],"domain_scores_gemma":[0.9992952,0.00006181719,0.00007573058,0.0004485627,0.00007887608,0.00003986683],"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":[3.075728e-7,0.00001348581,0.00008294735,0.00000104408,0.000002870044,3.762172e-7,0.0002187226,0.000002782542,0.002729167,0.9807504,0.001887692,0.0143102],"study_design_scores_gemma":[0.00007137495,0.00004638045,0.003009703,0.00000977031,0.000002015432,0.00001212709,0.00002121668,0.9406519,0.02087071,0.02529705,0.009837586,0.0001701955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0033787,0.00001040065,0.9927517,0.0004584767,0.00006292578,0.0001111266,1.681574e-7,0.0004322196,0.002794255],"genre_scores_gemma":[0.7459362,0.0000550547,0.2520981,0.001340063,0.0001038111,0.000003423932,0.000003485423,0.0000116391,0.0004481772],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9554533,"threshold_uncertainty_score":0.1748149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237711336297747,"score_gpt":0.3282473062763819,"score_spread":0.2958701929134044,"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."}}