{"id":"W2950768660","doi":"10.48550/arxiv.1508.01076","title":"Representing Directed Trees as Straight Skeletons","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polygon (computer graphics); Combinatorics; Simple polygon; Tracing; Tree (set theory); Mathematics; Simple (philosophy); Graph; Skeleton (computer programming); Process (computing); Monotone polygon; Computer science; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003058669,0.0002496027,0.0002485164,0.0003463878,0.0001819273,0.0002080985,0.001237058,0.0002038682,0.0000622381],"category_scores_gemma":[0.0001285133,0.0002963273,0.0001670223,0.0009458364,0.00005060723,0.0004258381,0.001581415,0.0003917065,0.0001484207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514648,"about_ca_system_score_gemma":0.0004606664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001364822,"about_ca_topic_score_gemma":0.0000727084,"domain_scores_codex":[0.9981338,0.0001760708,0.0002028188,0.00104514,0.0001579591,0.0002841971],"domain_scores_gemma":[0.9981255,0.000122427,0.0002250424,0.0009302982,0.0003856789,0.0002110431],"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":[0.00001302018,0.0001142688,0.0006754039,0.00002493829,0.000104452,0.0002724019,0.0002793116,0.7712571,0.0001493816,0.2194235,0.004595608,0.003090665],"study_design_scores_gemma":[0.0003701684,0.00004173505,0.002124002,0.00004815849,0.00004634475,0.00001207066,0.0000318438,0.8818238,0.0003857533,0.1099217,0.004738474,0.0004559743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3573387,0.0001238479,0.6118573,0.0002427688,0.001056744,0.0002584219,0.00001331443,0.0006874377,0.02842148],"genre_scores_gemma":[0.9839377,0.00003625301,0.004722659,0.00005848982,0.0001991586,0.000001009943,0.00007318082,0.0000118888,0.01095963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.626599,"threshold_uncertainty_score":0.9999489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08704673763001707,"score_gpt":0.2117009969954045,"score_spread":0.1246542593653874,"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."}}