{"id":"W4404091743","doi":"10.1016/j.jcp.2024.113532","title":"Discretely nonlinearly stable weight-adjusted flux reconstruction high-order method for compressible flows on curvilinear grids","year":2024,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Curvilinear coordinates; Compressibility; Mathematics; Mathematical analysis; Flux (metallurgy); Applied mathematics; Order (exchange); Mechanics; Geometry; Physics; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002576066,0.000226538,0.0003345996,0.0001830904,0.00009439368,0.0001712889,0.0001588043,0.0000740756,0.00002130711],"category_scores_gemma":[0.00002233167,0.0002076571,0.0002183786,0.000425776,0.00002276621,0.0004197404,0.00002016615,0.0003611006,0.00001474047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001496483,"about_ca_system_score_gemma":0.0001788001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004524629,"about_ca_topic_score_gemma":0.000002802801,"domain_scores_codex":[0.9985287,0.00003950945,0.0006087186,0.0001822659,0.0004377429,0.0002030241],"domain_scores_gemma":[0.9983358,0.000720621,0.0001168871,0.00009365755,0.0006392213,0.00009385579],"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":[0.00003905624,0.00004894791,0.000007477418,0.0001204151,0.0002164488,0.000005756273,0.0000461073,0.9230689,0.000751342,0.03639355,0.001115793,0.03818615],"study_design_scores_gemma":[0.00055023,0.0001532084,0.0002890604,0.0001790914,0.00006371635,0.00005047868,0.00001170367,0.9028075,0.0001992375,0.09370875,0.001788586,0.0001984831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0870755,0.0002461427,0.9092735,0.0002277945,0.002482811,0.0001587542,0.0002489008,0.00009579044,0.000190783],"genre_scores_gemma":[0.3769819,0.00003739171,0.6200095,0.00006998875,0.002275309,0.000008964082,0.0004004612,0.00009120434,0.000125264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2899064,"threshold_uncertainty_score":0.8468009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131581884259262,"score_gpt":0.2595272583332874,"score_spread":0.2482114394906948,"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."}}