{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007365745,0.0005368748,0.0007850179,0.0004449978,0.0004071605,0.0008476085,0.001174935,0.001109369,0.002231708],"category_scores_gemma":[0.002254636,0.0004136103,0.0004048217,0.00035186,0.0009152095,0.0009118128,0.001357834,0.001502426,0.0004616292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801233,"about_ca_system_score_gemma":0.001038849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004710366,"about_ca_topic_score_gemma":0.004232164,"domain_scores_codex":[0.9998234,0.00006128495,0.00001001193,0.00001622227,0.00007191306,0.00001726369],"domain_scores_gemma":[0.9992517,0.0002836662,0.00007598584,0.000101913,0.0002112964,0.00007543687],"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":[0.0005459521,0.0002109831,0.001879566,0.0002281733,0.0000816093,0.0002260875,0.0002458039,0.7761526,0.03089093,0.0877993,0.003013829,0.09872524],"study_design_scores_gemma":[0.000007498012,0.000009554919,0.00003267834,0.000001927012,0.000001132822,0.000005487551,0.000003230734,0.9982613,0.0004630952,0.001015298,0.000195862,0.000002992972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04014023,0.0001330061,0.9572143,0.000209731,0.0000917213,0.00004256967,0.00005764281,0.0002711714,0.001839652],"genre_scores_gemma":[0.4690874,0.0002396471,0.5192356,0.0001487697,0.00009778692,0.0001937069,0.0002852865,0.0003994335,0.01031241],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004710366,"threshold_uncertainty_score":0.009365916,"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."}}