{"id":"W1958364868","doi":"10.11575/cdm.v10i1.62303","title":"Visibility-monotonic polygon deflation","year":2012,"lang":"en","type":"article","venue":"University of Calgary","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Polygon (computer graphics); Visibility; Visibility polygon; Star-shaped polygon; Rectilinear polygon; Mathematics; Combinatorics; Monotonic function; Point in polygon; Simple polygon; Polygon covering; Monotone polygon; Regular polygon; Computer science; Geometry; Mathematical analysis; Convex set; Physics; Optics","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":[0.0003159678,0.0003048341,0.0003535289,0.0004003647,0.0005451841,0.001048872,0.0008225564,0.0005302446,0.004323571],"category_scores_gemma":[0.002371039,0.0003276046,0.0004921706,0.0003306583,0.001551921,0.001756056,0.00173763,0.00120922,0.0005072886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003205411,"about_ca_system_score_gemma":0.0003476637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006308041,"about_ca_topic_score_gemma":0.0007773167,"domain_scores_codex":[0.9995067,0.00006146845,0.00003489564,0.0001406644,0.0001687051,0.00008749642],"domain_scores_gemma":[0.9988362,0.0002695862,0.0002065614,0.0004233545,0.0001644056,0.00009977773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005989455,0.0001203735,0.005477448,0.0004027213,0.00004579244,0.001747627,0.001456803,0.0544159,0.1742927,0.59875,0.004715317,0.1579764],"study_design_scores_gemma":[0.0001523257,0.000660859,0.006900811,0.0002098555,0.00005758524,0.003476352,0.001273868,0.3306868,0.1842042,0.3758202,0.09641755,0.0001395563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.471775,0.0002611659,0.4830569,0.0003502317,0.0001594947,0.0001386531,0.0003884727,0.0007185361,0.04315173],"genre_scores_gemma":[0.859575,0.0001495157,0.131605,0.0001155403,0.00002876602,0.00008431292,0.0004905788,0.000256653,0.007694639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004323571,"threshold_uncertainty_score":0.01446378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042704153544024,"score_gpt":0.2029178846959114,"score_spread":0.1924908431604712,"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."}}