{"id":"W2771127437","doi":"10.1016/j.compfluid.2018.08.008","title":"An adaptive characteristic-wise reconstruction WENO-Z scheme for gas dynamic euler equations","year":2018,"lang":"en","type":"article","venue":"Computers & Fluids","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Safety Academic Fund; China Postdoctoral Science Foundation; Société Canadienne de Pédiatrie","keywords":"Euler equations; Scheme (mathematics); Euler's formula; Applied mathematics; Semi-implicit Euler method; Mathematics; Euler method; Computational fluid dynamics; Backward Euler method; Mathematical analysis; Computer science; Physics; Mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002592549,0.0002809809,0.0005448031,0.0002286113,0.0002747427,0.0004557256,0.001221657,0.0006533954,0.001474899],"category_scores_gemma":[0.0007395585,0.0001941791,0.0003531952,0.0002887834,0.00041137,0.0005466997,0.001150282,0.000868823,0.00030548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003166361,"about_ca_system_score_gemma":0.0006566484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003700814,"about_ca_topic_score_gemma":0.003190426,"domain_scores_codex":[0.9998935,0.00002777128,0.000007505181,0.00001276268,0.00004585776,0.00001249357],"domain_scores_gemma":[0.9998566,0.00002794605,0.00001756178,0.00002527223,0.00005362892,0.00001906633],"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":[0.0004442143,0.0001610626,0.003073654,0.0002577621,0.00009774085,0.0003625049,0.0002238546,0.6450673,0.06366263,0.1158452,0.003519776,0.1672844],"study_design_scores_gemma":[0.00001717023,0.00002341694,0.000173006,0.000004285399,0.000004548074,0.00001936752,0.000005227418,0.9954171,0.001399028,0.001458422,0.001471077,0.000007397631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03145033,0.0003345572,0.9642144,0.0001715403,0.0001920145,0.00007893605,0.00009771909,0.0002986912,0.003161957],"genre_scores_gemma":[0.5271909,0.0004721352,0.4622534,0.0001498564,0.00008945481,0.0002116795,0.0003003033,0.0001677911,0.009164471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003700814,"threshold_uncertainty_score":0.007358551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330510106555555,"score_gpt":0.2554555180746958,"score_spread":0.2224045074191403,"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."}}