{"id":"W2079484424","doi":"10.1002/nme.682","title":"Coarsening unstructured meshes by edge contraction","year":2003,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polygon mesh; Vertex (graph theory); Edge contraction; Volume mesh; Isotropy; Anisotropy; Geometry; Contraction (grammar); Topology (electrical circuits); Mathematics; Computer science; Algorithm; Mesh generation; Combinatorics; Finite element method; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009101477,0.0001211534,0.0001508233,0.0002472223,0.00006638568,0.0002071081,0.0003760893,0.00005835048,0.00001459538],"category_scores_gemma":[0.00117797,0.0001211014,0.00009318211,0.0002744191,0.000007532631,0.000498919,0.00002864849,0.0002520265,0.000001501576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603087,"about_ca_system_score_gemma":0.0000457082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002029459,"about_ca_topic_score_gemma":1.512903e-7,"domain_scores_codex":[0.9988562,0.0001174605,0.0003604317,0.0001979032,0.0002693021,0.0001986704],"domain_scores_gemma":[0.9989074,0.0006166247,0.0001167872,0.00008073115,0.0001888631,0.00008961283],"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":[0.00003270119,0.00008874932,0.0001793141,0.00001122246,0.0001276077,0.00002357208,0.0002385316,0.4651878,0.08305493,0.1073187,0.001401617,0.3423352],"study_design_scores_gemma":[0.0008458638,0.00005518739,0.000231642,0.00003084135,0.000005904508,0.0004780711,0.00001747974,0.8029125,0.04191357,0.01393321,0.139336,0.0002396543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001164586,0.0002898478,0.9916017,0.000420998,0.006267301,0.00008383027,0.00000245387,0.00004537783,0.0001239237],"genre_scores_gemma":[0.124573,0.00002049608,0.8749714,0.0001254727,0.0002130838,0.00001403272,0.000004495345,0.00001042069,0.00006756268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3420956,"threshold_uncertainty_score":0.4938373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924915667835105,"score_gpt":0.3630718741867319,"score_spread":0.3438227175083809,"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."}}