{"id":"W2783055595","doi":"10.2514/6.2018-0830","title":"A Priori Stability Analysis of Finite Volume Methods On Unstructured Meshes","year":2018,"lang":"en","type":"article","venue":"2018  AIAA Aerospace Sciences Meeting","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polygon mesh; A priori and a posteriori; Finite volume method; Stability (learning theory); Computer science; Volume (thermodynamics); Finite element method; Volume mesh; Mesh generation; Mechanics; Computer graphics (images); Structural engineering; Engineering; Physics; Thermodynamics; Machine learning","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":[0.002456628,0.0008428041,0.0006149782,0.00161886,0.0007756075,0.001446999,0.000965204,0.00154164,0.002834658],"category_scores_gemma":[0.01561824,0.0005110321,0.0007308069,0.0004397341,0.002015563,0.001639338,0.002028052,0.001216687,0.0004236575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006503878,"about_ca_system_score_gemma":0.000812628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422665,"about_ca_topic_score_gemma":0.0006816413,"domain_scores_codex":[0.9989303,0.0004445411,0.00005214566,0.0001101274,0.0003974449,0.0000654093],"domain_scores_gemma":[0.9858255,0.01028931,0.0008810518,0.000582552,0.002165592,0.0002559205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007366925,0.0001460646,0.00223581,0.0003620068,0.00007731459,0.0001860511,0.0003511478,0.7946702,0.03455254,0.126752,0.001990679,0.03793947],"study_design_scores_gemma":[0.00000501459,0.00002664947,0.0001529554,0.00001159779,0.000003302691,0.00001537392,0.00001175231,0.9914674,0.001590057,0.006460121,0.0002493219,0.000006434859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1096517,0.0005837164,0.8786677,0.0005353281,0.000141641,0.00009542904,0.0001003711,0.0003290467,0.009895117],"genre_scores_gemma":[0.9034184,0.0003988426,0.08735591,0.0001542776,0.0001620927,0.0002127148,0.0002993678,0.0004646438,0.007533844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002834658,"threshold_uncertainty_score":0.01299208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05342579768095772,"score_gpt":0.3713487050745559,"score_spread":0.3179229073935981,"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."}}