{"id":"W2124671353","doi":"10.1109/isvd.2010.25","title":"Smooth Morphing Delaunay Triangulation","year":2010,"lang":"en","type":"article","venue":"","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Delaunay triangulation; Morphing; Vertex (graph theory); Computer science; Merge (version control); Quadrilateral; Constrained Delaunay triangulation; Diagonal; Algorithm; Computer graphics; Computer graphics (images); Mathematics; Theoretical computer science; Geometry; Physics; Graph","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":[0.0004405819,0.0005492435,0.0006547107,0.001067708,0.0004100941,0.0007342317,0.001062122,0.0007805263,0.002537158],"category_scores_gemma":[0.002147988,0.000496101,0.0006801572,0.0006897591,0.0009175093,0.0008943194,0.001857268,0.0008233913,0.0005833018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003738803,"about_ca_system_score_gemma":0.0004404545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002419232,"about_ca_topic_score_gemma":0.002394132,"domain_scores_codex":[0.9996068,0.00005433057,0.0000258785,0.00009336357,0.0001861392,0.00003352966],"domain_scores_gemma":[0.9995806,0.0001263792,0.000044239,0.000135113,0.00008939474,0.0000244134],"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":[0.0001682017,0.00003354422,0.001749344,0.0002162326,0.00004492782,0.0002504428,0.0004843986,0.4951666,0.03170484,0.0360093,0.003712119,0.43046],"study_design_scores_gemma":[0.00001224608,0.00004388582,0.0003170047,0.00001456618,0.00001030268,0.0001476477,0.00007022906,0.9714145,0.005243074,0.0155566,0.007151525,0.00001843606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01617661,0.00009863057,0.9811723,0.00005627416,0.00004219019,0.00006329995,0.00005655905,0.0006321176,0.001702004],"genre_scores_gemma":[0.2365067,0.0001941703,0.7590553,0.00004753326,0.00002597362,0.0001122446,0.0003019496,0.0003379528,0.003418143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002537158,"threshold_uncertainty_score":0.008487642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164636638545062,"score_gpt":0.2424807821594851,"score_spread":0.2308344157740345,"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."}}