{"id":"W2076832715","doi":"10.1145/1998196.1998254","title":"Kinetic mesh refinement in 2D","year":2011,"lang":"en","type":"article","venue":"","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Delaunay triangulation; Polygon mesh; Degree (music); Mathematics; Algebraic number; Triangulation; Planar; Point (geometry); Combinatorics; Computation; Binary logarithm; Algorithm; Computer science; Geometry; Mathematical analysis; Physics; 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":[0.0007818599,0.0005830884,0.0008656225,0.001012005,0.0006383124,0.001525014,0.001861378,0.00100627,0.005329932],"category_scores_gemma":[0.004133032,0.000547764,0.001062415,0.001132824,0.001073875,0.002076261,0.003274053,0.001368558,0.001594051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007288425,"about_ca_system_score_gemma":0.0006886507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002233489,"about_ca_topic_score_gemma":0.002757752,"domain_scores_codex":[0.99902,0.0001555706,0.0000793006,0.0001255529,0.0005431048,0.00007656741],"domain_scores_gemma":[0.9988984,0.0003475918,0.0001017313,0.0003533474,0.0002259423,0.00007307885],"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":[0.0002135077,0.00004374437,0.001335524,0.0002869506,0.00003623428,0.0001848545,0.0002782783,0.6151568,0.01231281,0.2715661,0.006578655,0.09200661],"study_design_scores_gemma":[0.00002716612,0.00002235831,0.0001025427,0.00001697731,0.000004579371,0.00007712788,0.00002997507,0.9307669,0.002822188,0.0564831,0.009632623,0.00001455436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007198289,0.00009647994,0.9891101,0.0001459809,0.00008437438,0.00003028005,0.0001985781,0.0005537404,0.00258226],"genre_scores_gemma":[0.3223991,0.0005330669,0.663673,0.0002150513,0.0001009062,0.0002614817,0.001385249,0.0006811225,0.01075106],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005329932,"threshold_uncertainty_score":0.01783043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03934251813374567,"score_gpt":0.237937836861716,"score_spread":0.1985953187279703,"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."}}