{"id":"W1965341313","doi":"10.1068/b12984","title":"Recursive Voronoi Diagrams","year":2003,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Voronoi diagram; Delaunay triangulation; Bowyer–Watson algorithm; Centroidal Voronoi tessellation; Generator (circuit theory); Tessellation (computer graphics); Set (abstract data type); Computer science; Theoretical computer science; Constrained Delaunay triangulation; Algorithm; Mathematics; Object (grammar); Topology (electrical circuits); Combinatorics; Geometry; Computer graphics (images); Artificial intelligence; Programming language","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":[0.0001899152,0.0001597206,0.0001296755,0.00004362941,0.0001475453,0.0000423356,0.00004427353,0.00008091518,0.00001790793],"category_scores_gemma":[0.0000196082,0.0001623488,0.00001442638,0.0000332538,0.00004529417,0.000061183,0.00001161184,0.0001444642,0.0000187887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001761453,"about_ca_system_score_gemma":0.000004759274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003309882,"about_ca_topic_score_gemma":5.5626e-8,"domain_scores_codex":[0.9993277,0.00003452231,0.0001331237,0.0002022939,0.00008608637,0.0002163305],"domain_scores_gemma":[0.9995865,0.0001626481,0.00002307227,0.0001229147,0.000002825092,0.0001020727],"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":[0.00001050352,0.00001683436,0.02342807,0.00002574959,0.00004755086,0.000016631,0.00248803,0.964875,0.0008648594,0.001034006,0.003525094,0.003667624],"study_design_scores_gemma":[0.002572965,0.0005928294,0.05613694,0.0006009152,0.0002993898,0.0001877042,0.002298202,0.7477247,0.01051394,0.01790392,0.1580188,0.003149773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1189133,0.006179809,0.8720406,0.00002362544,0.0001059272,0.0001893852,0.000004769475,0.0001675834,0.002374967],"genre_scores_gemma":[0.9550148,0.0002420102,0.04444069,0.00003734082,0.00005316515,0.00004634487,0.00001563331,0.0000278576,0.0001221221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8361015,"threshold_uncertainty_score":0.6620393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02404058346001541,"score_gpt":0.2085220850639754,"score_spread":0.18448150160396,"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."}}