{"id":"W2323183676","doi":"10.2514/6.2011-3405","title":"An Extension of Energy Stable Flux Reconstruction to Unsteady, Non-linear, Viscous Problems on Mixed Grids","year":2011,"lang":"en","type":"article","venue":"20th AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Nvidia; National Science Foundation","keywords":"Extension (predicate logic); Flux (metallurgy); Energy (signal processing); Computer science; Mechanics; Applied mathematics; Mathematical optimization; Mathematics; Physics; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002272228,0.0003055147,0.0004005521,0.0002639484,0.00008480795,0.00002505847,0.0003100376,0.0001137877,0.00008440039],"category_scores_gemma":[0.0001005638,0.0003235991,0.00006589769,0.0004333393,0.00009621929,0.0002530158,0.00005666056,0.0001861866,0.00003258224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644117,"about_ca_system_score_gemma":0.00009468912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002482181,"about_ca_topic_score_gemma":0.00001342224,"domain_scores_codex":[0.9981028,0.00008170768,0.000655534,0.0004143761,0.0004436811,0.0003019111],"domain_scores_gemma":[0.9983431,0.0003618044,0.0001355601,0.0003445188,0.000614968,0.0002000773],"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":[0.00003758141,0.0001168076,0.00004680344,0.00007447017,0.00002863745,0.000002583448,0.0001819349,0.8872423,0.002488565,0.06504586,0.00003205709,0.0447024],"study_design_scores_gemma":[0.0002400002,0.0003333013,0.001250221,0.0001523957,0.00001278816,0.00002221041,0.00006185643,0.8866369,0.001761764,0.109213,0.00001519105,0.00030047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09849805,0.00001253334,0.897769,0.00001885385,0.00066577,0.0002337471,0.00006819551,0.0001971573,0.002536707],"genre_scores_gemma":[0.5445923,0.000005764929,0.4551393,0.00004494624,0.00003371781,0.00002321131,0.00009560243,0.00003624856,0.00002889289],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4460942,"threshold_uncertainty_score":0.9999216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03701650000182229,"score_gpt":0.274661693470315,"score_spread":0.2376451934684927,"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."}}