{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032441,0.0004769187,0.0008750036,0.0009840871,0.0004157315,0.0006765069,0.0006872319,0.0006631166,0.001981644],"category_scores_gemma":[0.003317499,0.0003389983,0.000673069,0.0005469611,0.0007433121,0.0006815292,0.001811679,0.001007227,0.000609246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005768,"about_ca_system_score_gemma":0.0004570083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379804,"about_ca_topic_score_gemma":0.001374651,"domain_scores_codex":[0.9992613,0.000169905,0.00004832221,0.0001049967,0.0003597098,0.00005566814],"domain_scores_gemma":[0.998913,0.0004913838,0.00007727101,0.000241818,0.0002286445,0.00004778323],"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":[0.000159401,0.00006224353,0.001543967,0.0001741301,0.00004198146,0.0002561482,0.000336062,0.6669794,0.06165836,0.03114737,0.00255245,0.2350885],"study_design_scores_gemma":[0.00002049134,0.0000312374,0.0001866421,0.00001337406,0.000006947099,0.00004525293,0.0000218373,0.977513,0.009902946,0.007123229,0.005124906,0.0000101203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02637884,0.0001054435,0.9703466,0.0000524201,0.00007043805,0.0000727362,0.00002937564,0.0004778921,0.002466162],"genre_scores_gemma":[0.230047,0.0001565431,0.7660625,0.00008818333,0.00004181382,0.0001533137,0.0002370297,0.0003127978,0.002900686],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001981644,"threshold_uncertainty_score":0.006629288,"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."}}