{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001096743,0.00003909148,0.00003915415,0.00009456515,0.00001634398,0.00001700799,0.0001817981,0.00001301296,0.0002024698],"category_scores_gemma":[0.000007674126,0.00003451183,0.00001279782,0.0002895874,0.000004568732,0.0001237918,0.00006370298,0.00002637584,0.00008538675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001201076,"about_ca_system_score_gemma":0.00001871311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005214722,"about_ca_topic_score_gemma":0.00004399552,"domain_scores_codex":[0.9995638,0.00001607986,0.0001039686,0.0001349063,0.00009663437,0.00008460825],"domain_scores_gemma":[0.9997854,0.00001178514,0.00001531698,0.0001377147,0.00002378887,0.00002598286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002982804,0.0001149472,0.0009190226,0.000003486124,0.000003245444,0.000009433134,0.0007818062,0.0004280898,0.0006578136,0.8982389,0.001882315,0.09695794],"study_design_scores_gemma":[0.001557331,0.000461181,0.4105247,0.00002748804,0.000005716174,0.0000313017,0.00006998131,0.3892374,0.04155681,0.1092243,0.04665186,0.0006519083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04860416,0.00003824227,0.8574993,0.000345169,0.0002337708,0.00007339754,1.100521e-7,0.00006261632,0.09314324],"genre_scores_gemma":[0.8831972,0.000003391922,0.1152522,0.0003660972,0.00001836047,0.000006760996,0.000001042338,0.000001193511,0.001153702],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8345931,"threshold_uncertainty_score":0.2216902,"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."}}