{"id":"W3130670923","doi":"10.1016/j.finel.2020.103484","title":"Two-level substructuring and parallel mesh generation for domain decomposition methods","year":2021,"lang":"en","type":"article","venue":"Finite Elements in Analysis and Design","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Domain decomposition methods; Polygon mesh; Solver; Computer science; FETI; Morphing; Mesh generation; Finite element method; Convergence (economics); Parallel computing; Computational science; Benchmark (surveying); Algorithm; Mathematical optimization; Mathematics; Structural engineering; Computer graphics (images); Engineering","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":[0.000614787,0.0001140806,0.0002513492,0.0001689036,0.000063258,0.00004582762,0.00003579396,0.00003539536,0.00001754741],"category_scores_gemma":[0.0001358927,0.0001185534,0.00004821824,0.0004104949,0.00001371184,0.00008078889,0.00002179542,0.0000592736,2.683348e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003423992,"about_ca_system_score_gemma":0.000006043772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.671852e-7,"about_ca_topic_score_gemma":0.000007852461,"domain_scores_codex":[0.9990551,0.0001770297,0.0003407598,0.000202109,0.00009032519,0.0001346424],"domain_scores_gemma":[0.9987955,0.0009663212,0.00005246694,0.00009909794,0.00004511949,0.00004148982],"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":[0.00001251571,0.00002393885,0.0006926507,0.00006693698,0.0004553833,0.000004010581,0.0002509041,0.8996114,0.01920442,0.005543605,0.000014677,0.07411957],"study_design_scores_gemma":[0.0004224847,0.0000139335,0.0009526672,0.000009100505,0.0001358526,0.000001773186,0.00004349409,0.9010034,0.007099083,0.09013464,0.00005408051,0.0001295096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01439533,0.0003065382,0.9850183,0.00001750137,0.00004252556,0.0001396681,0.00001170768,0.00002332246,0.00004512112],"genre_scores_gemma":[0.06713054,0.0001038779,0.9325641,0.00004174123,0.00003480262,0.00004840247,0.00005059388,0.0000132653,0.00001262301],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08459102,"threshold_uncertainty_score":0.4834469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08681710634396984,"score_gpt":0.3938807390378611,"score_spread":0.3070636326938913,"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."}}