{"id":"W2252757273","doi":"10.1007/978-3-642-25249-5","title":"Transactions on Computational Science XIV: special Issue on Voronoi Diagrams and Delaunay Triangulation","year":2011,"lang":"en","type":"book","venue":"DIAL (Catholic University of Leuven)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre de Géomatique du Québec; University of Calgary","funders":"","keywords":"Delaunay triangulation; Voronoi diagram; Bowyer–Watson algorithm; Pitteway triangulation; Constrained Delaunay triangulation; Triangulation; Computer science; Mathematics; Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007860906,0.001428294,0.002630789,0.002676466,0.0005914665,0.003474962,0.001522424,0.001243901,0.0512393],"category_scores_gemma":[0.003956933,0.0007773186,0.0009901413,0.00726309,0.001028287,0.00370813,0.00183787,0.002915922,0.01871629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201386,"about_ca_system_score_gemma":0.001177046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001635095,"about_ca_topic_score_gemma":0.00236685,"domain_scores_codex":[0.998889,0.000155494,0.00007822444,0.0002026346,0.0006232348,0.00005142433],"domain_scores_gemma":[0.9988268,0.0005343851,0.00004061361,0.0002090744,0.0003173241,0.00007180637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003958339,0.00003586663,0.0002207171,0.0009046987,0.00005729219,0.0000681881,0.0001202152,0.009674091,0.0008639432,0.121048,0.4323665,0.434601],"study_design_scores_gemma":[0.00001739657,0.00002115184,0.0005310698,0.0003436964,0.00003076093,0.0003725335,0.00007115705,0.01868104,0.0004865773,0.1930953,0.7863243,0.00002497802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003316038,0.1805256,0.5350894,0.00596476,0.04266537,0.0002011471,0.002749936,0.001962957,0.2275248],"genre_scores_gemma":[0.04513284,0.167484,0.3725017,0.001981236,0.02205222,0.000575355,0.007797909,0.00347322,0.3790016],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0512393,"threshold_uncertainty_score":0.1714126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316216170603207,"score_gpt":0.2367831404032606,"score_spread":0.2136209786972285,"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."}}