{"id":"W2099188592","doi":"10.1007/978-3-540-30551-4_62","title":"Boundary-Optimal Triangulation Flooding","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Triangulation; Combinatorics; Boundary (topology); Planar; Mathematics; Flooding (psychology); Point set triangulation; Sequence (biology); Physics; Geometry; Discrete mathematics; Computer science; Mathematical analysis; Delaunay triangulation; Computer graphics (images)","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":[0.000346988,0.0006591533,0.001065414,0.0009807718,0.0005579609,0.0009769431,0.00145414,0.00123502,0.00746223],"category_scores_gemma":[0.00274363,0.0006199861,0.0004690416,0.001075741,0.0008774754,0.001769836,0.003492676,0.001285468,0.001841411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006763242,"about_ca_system_score_gemma":0.000608485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658545,"about_ca_topic_score_gemma":0.001576029,"domain_scores_codex":[0.999557,0.00007913609,0.00001806514,0.00008687348,0.0002036548,0.00005527046],"domain_scores_gemma":[0.9996008,0.0001495429,0.00003188919,0.0001145311,0.00007536421,0.00002789814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003598662,0.00008205685,0.0003329936,0.0004635237,0.0000480203,0.0001660798,0.000317292,0.2376583,0.02046979,0.3417793,0.02805446,0.3702683],"study_design_scores_gemma":[0.00004694848,0.0000385414,0.0001472872,0.00004044909,0.00001740645,0.0002033734,0.00005177565,0.730909,0.004939412,0.2502749,0.01331098,0.00001992576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01351472,0.000798613,0.9479521,0.0003352126,0.0001506185,0.00007381488,0.0002290313,0.001378567,0.03556731],"genre_scores_gemma":[0.3623289,0.001397206,0.5960284,0.000267,0.0001720978,0.0002295024,0.001061736,0.001260003,0.03725517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00746223,"threshold_uncertainty_score":0.02496368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761040168954702,"score_gpt":0.25038856005309,"score_spread":0.2327781583635429,"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."}}