{"id":"W2138168865","doi":"10.1016/j.comgeo.2014.08.006","title":"Weighted straight skeletons in the plane","year":2014,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polygon (computer graphics); Skeleton (computer programming); Regular polygon; Combinatorics; Mathematics; Ambiguity; Convex polygon; Point (geometry); Planar; Computer science; Topology (electrical circuits); Geometry; 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":[0.0002333364,0.0005610013,0.0003246639,0.00131951,0.0007259391,0.001009894,0.0007359827,0.0005698937,0.005926264],"category_scores_gemma":[0.001139899,0.0004460041,0.0006092202,0.001246106,0.001342166,0.001901511,0.001336254,0.0007189939,0.001317064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004109022,"about_ca_system_score_gemma":0.0002482616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009477442,"about_ca_topic_score_gemma":0.001344702,"domain_scores_codex":[0.9997222,0.00003884672,0.00001763104,0.00007075285,0.0001084897,0.00004212036],"domain_scores_gemma":[0.999527,0.00011532,0.0001132376,0.0001081301,0.00009177405,0.00004463072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007333309,0.00005154675,0.00112501,0.0001296032,0.00002598978,0.0006214227,0.0004029591,0.09441821,0.02202556,0.7973378,0.001744394,0.08204422],"study_design_scores_gemma":[0.00002412199,0.0001331062,0.001373822,0.00006824564,0.00003357184,0.001064793,0.000406596,0.2539932,0.01739721,0.6872032,0.0382617,0.00004038711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1051163,0.0001648248,0.8794031,0.00006991394,0.00002623534,0.00007272784,0.0001708507,0.0003572317,0.01461889],"genre_scores_gemma":[0.5229553,0.000768055,0.4594285,0.00005480795,0.00004354848,0.0001260202,0.0006871105,0.0003947434,0.01554192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005926264,"threshold_uncertainty_score":0.01982528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044361098578388,"score_gpt":0.2366490555385792,"score_spread":0.2262054445527953,"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."}}