{"id":"W4402372814","doi":"10.1007/s10915-024-02656-5","title":"Quadrature Rules on Triangles and Tetrahedra for Multidimensional Summation-By-Parts Operators","year":2024,"lang":"en","type":"article","venue":"Journal of Scientific Computing","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Tetrahedron; Quadrature (astronomy); Geometry; Engineering; Electrical 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002232871,0.000117957,0.0001767276,0.0002774616,0.0004293674,0.001045414,0.0003176274,0.00004597512,0.000005860554],"category_scores_gemma":[0.0001432892,0.00008645816,0.00010917,0.0003537697,0.00008035665,0.0005044292,0.00008337564,0.0001996569,0.000007415827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002835462,"about_ca_system_score_gemma":0.0001121554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.575766e-7,"about_ca_topic_score_gemma":2.664888e-7,"domain_scores_codex":[0.9986849,0.00007122575,0.0003942075,0.0002935777,0.0003624904,0.0001936045],"domain_scores_gemma":[0.9987074,0.0007050375,0.0001480351,0.0001449591,0.0001908637,0.0001037103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006892273,0.0002509166,0.00007701308,0.0002425374,0.0001373482,0.0001245233,0.005088865,0.003559496,0.03742174,0.4212104,0.07568914,0.4561291],"study_design_scores_gemma":[0.0008343905,0.0002803936,0.0001460223,0.0008008862,0.0000227158,0.0002486203,0.0001935858,0.8763,0.01508792,0.009528463,0.09625294,0.0003040297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6077315,0.00250401,0.3824342,0.001291939,0.005726444,0.0001589326,0.0000198549,0.00005857487,0.00007448653],"genre_scores_gemma":[0.9341537,0.000004786995,0.06494499,0.00007445602,0.000377614,7.189481e-7,0.000003932199,0.000008493987,0.0004313058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8727406,"threshold_uncertainty_score":0.9999916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320491599116645,"score_gpt":0.2655148508892627,"score_spread":0.2523099348980962,"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."}}