{"id":"W2173897734","doi":"","title":"Triangulating and Guarding Realistic Polygons.","year":2008,"lang":"en","type":"article","venue":"TU/e Research Portal","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Constant (computer programming); Boundary (topology); Computer science; Simple (philosophy); Regular polygon; Polygon (computer graphics); Algorithm; Object (grammar); Combinatorics; Computational geometry; Mathematics; Geometry; Artificial intelligence; Mathematical analysis","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":[0.0006748497,0.0007462903,0.0007195577,0.0006806118,0.0007076042,0.001762287,0.002215412,0.001495128,0.008950567],"category_scores_gemma":[0.004617665,0.0007632017,0.001234789,0.001032543,0.001651831,0.00350224,0.00338465,0.00133231,0.002044634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008062599,"about_ca_system_score_gemma":0.0006408579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595318,"about_ca_topic_score_gemma":0.002120822,"domain_scores_codex":[0.9987772,0.0002317863,0.00006690755,0.0002432001,0.0005279611,0.0001530034],"domain_scores_gemma":[0.99864,0.0005221863,0.0001218445,0.0005281993,0.0001079303,0.00007988668],"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":[0.0003441645,0.00006841881,0.002048448,0.0005148479,0.00003821173,0.001038649,0.0006433252,0.5351033,0.01536835,0.2888221,0.008272218,0.147738],"study_design_scores_gemma":[0.00001961765,0.00005904216,0.0002964335,0.00007361452,0.00001211993,0.0005753252,0.0001851087,0.836469,0.01256139,0.131127,0.01858457,0.00003676851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01445045,0.00008594857,0.9786921,0.0001217098,0.00004508103,0.000068658,0.0004359345,0.001129914,0.004970172],"genre_scores_gemma":[0.3199207,0.0003047182,0.6721881,0.00008621908,0.0000257938,0.0001539804,0.002527276,0.0005067386,0.004286468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008950567,"threshold_uncertainty_score":0.02994263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412803459940646,"score_gpt":0.3862284673020629,"score_spread":0.2449481213079983,"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."}}