{"id":"W2011903683","doi":"10.1016/s0925-7721(99)00055-3","title":"Queries with segments in Voronoi diagrams","year":2000,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Killam Trusts; Natural Sciences and Engineering Research Council of Canada; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Disjoint sets; Voronoi diagram; Line segment; Convex hull; Computational geometry; Combinatorics; Plane (geometry); Point (geometry); Hausdorff distance; Regular polygon; Computer science; Set (abstract data type); Line (geometry); Hausdorff space; Mathematics; Algorithm; Artificial intelligence; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002206384,0.0001698884,0.0001660766,0.000367335,0.0001257108,0.0001643923,0.0003942328,0.00005073063,0.0002865179],"category_scores_gemma":[0.00001880859,0.0001586384,0.00004152284,0.00171234,0.00005141766,0.0006977753,0.00006160308,0.000131115,0.0002312878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007321021,"about_ca_system_score_gemma":0.0001312166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001929206,"about_ca_topic_score_gemma":0.00001884305,"domain_scores_codex":[0.9984514,0.00006547126,0.0002853707,0.0004318713,0.0004940567,0.0002718985],"domain_scores_gemma":[0.9993296,0.0001842851,0.00005946929,0.0002222092,0.0001067798,0.00009761964],"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":[0.0000284564,0.0001788959,0.007110578,0.00001156942,0.00002115509,0.00002815696,0.0002478779,0.7382044,0.00001438098,0.02716192,0.0004249591,0.2265677],"study_design_scores_gemma":[0.001933477,0.0003121039,0.4256502,0.00006245298,0.00000767683,0.000113803,0.00003639281,0.5258941,0.0002341253,0.03319914,0.01188691,0.0006695911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4473579,0.0001777631,0.5490109,0.0005468454,0.00012384,0.0001552201,0.000003903936,0.0001100547,0.002513531],"genre_scores_gemma":[0.9119033,0.0000124873,0.08638299,0.0005725286,0.00008228395,0.00002840782,0.0000767209,0.000009816287,0.000931425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4645454,"threshold_uncertainty_score":0.6469086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00620114208630814,"score_gpt":0.2126324844081391,"score_spread":0.206431342321831,"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."}}