{"id":"W2152067717","doi":"10.1007/3-540-44864-0_74","title":"3D Visualization of Complex Surfaces Using Dynamic Delaunay Tessellation","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Delaunay triangulation; Computer science; Visualization; Computer graphics (images); Skeletonization; Rendering (computer graphics); Computer graphics; Voronoi diagram; Data visualization; Scientific visualization; Bowyer–Watson algorithm; Tessellation (computer graphics); Artificial intelligence; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000937625,0.000504769,0.0006104527,0.001542949,0.0002404207,0.000378068,0.001908061,0.0003302009,0.0000200774],"category_scores_gemma":[0.00004756931,0.0005151979,0.0001348411,0.001483527,0.0004952438,0.0006365278,0.0006986317,0.0003077685,0.00000269566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002406115,"about_ca_system_score_gemma":0.0003456539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002843177,"about_ca_topic_score_gemma":0.00003165806,"domain_scores_codex":[0.9963674,0.00008141177,0.0008772617,0.001216536,0.00100934,0.0004480396],"domain_scores_gemma":[0.9971101,0.0002645677,0.0007404167,0.001090725,0.0006836661,0.0001105088],"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":[0.000008517872,0.0001633837,0.001028651,0.0002941917,0.00005010447,0.00002577942,0.001505924,0.1794097,0.00429879,0.5239402,0.00003969605,0.2892351],"study_design_scores_gemma":[0.0001386731,0.0001170624,0.0001429387,0.000294974,0.000009605184,0.00002357252,8.513464e-8,0.9058261,0.002694007,0.08981246,0.0004572679,0.0004832626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004258182,0.0003362959,0.9972581,0.0000553772,0.0007124306,0.00043589,0.000005849856,0.0002128716,0.0005573192],"genre_scores_gemma":[0.3815123,0.00014922,0.6176028,0.0005410717,0.00006826052,0.000003224665,0.00002534181,0.00005226628,0.00004552812],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7264164,"threshold_uncertainty_score":0.99973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310991587714942,"score_gpt":0.3100874185907443,"score_spread":0.2789882598192501,"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."}}