{"id":"W2024580030","doi":"10.1016/j.cad.2013.05.009","title":"Generalizing the advancing front method to composite surfaces in the context of meshing constraints topology","year":2013,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Trois-Rivières","funders":"","keywords":"Topology (electrical circuits); Context (archaeology); Mesh generation; Geometry; Boundary (topology); Computer science; Computation; Boundary representation; T-vertices; Front (military); Representation (politics); Parametric statistics; Finite element method; Composite number; Surface (topology); Mathematics; Algorithm; Mathematical analysis; Mechanical engineering; Structural engineering; Engineering; Combinatorics; Geology","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":[0.001146345,0.0007100739,0.0009002635,0.001401231,0.0005507145,0.001480266,0.001546026,0.001542966,0.003177678],"category_scores_gemma":[0.003455974,0.000459302,0.001152716,0.001003034,0.001031651,0.001393118,0.002037266,0.002118345,0.001112616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399526,"about_ca_system_score_gemma":0.0009107712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002370783,"about_ca_topic_score_gemma":0.002762016,"domain_scores_codex":[0.9995433,0.00009541928,0.00002272922,0.00004892022,0.0002642099,0.0000255091],"domain_scores_gemma":[0.9991296,0.0003849655,0.00004331773,0.0001670115,0.0002371809,0.00003793425],"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":[0.00005561355,0.00008115867,0.0004429259,0.0002356235,0.00003327831,0.0002666863,0.0001963855,0.5752982,0.01703084,0.2494522,0.002596824,0.1543103],"study_design_scores_gemma":[0.000005909061,0.00001233124,0.00004186858,0.000009903595,0.000003951968,0.0000386717,0.00000850796,0.9714773,0.00133684,0.02282701,0.004231832,0.000005933077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001975508,0.00007950417,0.9957491,0.00005164443,0.00005882274,0.00002334968,0.00001393144,0.00006709189,0.001980984],"genre_scores_gemma":[0.1201458,0.000868402,0.8688358,0.0001343102,0.0001702722,0.0001635646,0.0001602957,0.00035468,0.009166762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003177678,"threshold_uncertainty_score":0.01063037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417420325902941,"score_gpt":0.2918245359002147,"score_spread":0.2576503326411853,"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."}}