{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002135383,0.00004843474,0.00004261003,0.00008848872,0.00008879077,0.000116599,0.0002012228,0.00003202921,0.00009570135],"category_scores_gemma":[0.00004561349,0.00004340499,0.00002668835,0.0002807638,0.000006986833,0.000447247,0.00004667082,0.00007951367,0.0000800138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005851625,"about_ca_system_score_gemma":0.00003323333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009711114,"about_ca_topic_score_gemma":0.00001999936,"domain_scores_codex":[0.9994934,0.00001427781,0.0001045135,0.0001561726,0.0001440788,0.00008762619],"domain_scores_gemma":[0.9996232,0.00005405954,0.00003069535,0.0001870116,0.00006020871,0.00004476323],"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":[0.000001733743,0.0000255685,0.0002269001,0.000001430881,0.000003122674,0.000001804383,0.0001262227,0.002854831,0.06116899,0.6603507,0.0011748,0.2740639],"study_design_scores_gemma":[0.0003907026,0.00003128701,0.02184641,0.000001880737,0.000002711504,0.00001937959,0.000005033232,0.873129,0.02478118,0.03883077,0.04077289,0.0001888354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1376466,0.000007159543,0.854767,0.0008069252,0.0006699539,0.0000517009,1.65371e-7,0.0001213389,0.005929185],"genre_scores_gemma":[0.8241696,4.152134e-7,0.174585,0.0002730729,0.0001512255,0.000003162433,0.000004433534,0.000002026962,0.0008111029],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8702741,"threshold_uncertainty_score":0.1770004,"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."}}