{"id":"W4317584408","doi":"10.2514/6.2023-0663","title":"Fully Discrete Entropy-Stable Flux Reconstruction Scheme for Compressible Flows through the Relaxation Runge-Kutta Method","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Entropy (arrow of time); Applied mathematics; Nonlinear system; Total variation diminishing; Euler equations; Mathematical optimization; Mathematical analysis; Physics","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":[0.0003970585,0.0002148525,0.0002110417,0.0001256705,0.0003921385,0.0001474793,0.0002825031,0.0001195648,0.00004256643],"category_scores_gemma":[0.00006300746,0.0001832904,0.00014944,0.0008535604,0.00003659383,0.0003781683,0.0001132148,0.0002229998,0.0001136591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216639,"about_ca_system_score_gemma":0.00003623603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004690651,"about_ca_topic_score_gemma":0.0001220165,"domain_scores_codex":[0.9985184,0.00003349898,0.000365045,0.0003135435,0.0002645992,0.0005049125],"domain_scores_gemma":[0.9991124,0.000313527,0.00007326975,0.0003352487,0.0001124811,0.00005308787],"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":[0.00002675969,0.00001206005,0.0003093909,0.000105056,0.0001465911,0.000002251542,0.0001618677,0.8593158,0.02688129,0.06679469,0.02777514,0.01846913],"study_design_scores_gemma":[0.0003245409,0.00003057829,0.0004061974,0.00004322117,0.00002282475,0.000008365029,0.0002125021,0.9282033,0.0005832521,0.04399914,0.02595085,0.0002151993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06757902,0.0002183625,0.9237502,0.002549191,0.002121823,0.0008367993,0.0003045787,0.0008995364,0.001740545],"genre_scores_gemma":[0.5109316,0.0004526591,0.4661841,0.0004218679,0.0009588802,0.0009800504,0.003231789,0.0003700689,0.016469],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.457566,"threshold_uncertainty_score":0.7474363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235123803775665,"score_gpt":0.2623131281740048,"score_spread":0.2499618901362482,"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."}}