{"id":"W3108092304","doi":"10.1016/j.jcp.2020.110022","title":"Accelerated implicit-explicit Runge-Kutta schemes for locally stiff systems","year":2020,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Airfoil; Runge–Kutta methods; Applied mathematics; Mathematics; Stability (learning theory); Bounded function; Flow (mathematics); Large eddy simulation; Mathematical optimization; Turbulence; Computer science; Numerical analysis; Mathematical analysis; Geometry; Mechanics","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":[0.0001013615,0.0001832725,0.0003314251,0.00005268876,0.00006627741,0.0001225339,0.0002260801,0.00005222824,0.000003428031],"category_scores_gemma":[0.00002607194,0.0001834793,0.0001702008,0.0002671989,0.00001600797,0.0002406732,0.00002670112,0.0002060149,0.000007916715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008458555,"about_ca_system_score_gemma":0.000132979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.565368e-7,"about_ca_topic_score_gemma":1.656686e-7,"domain_scores_codex":[0.9987134,0.00001437025,0.0005931818,0.00012054,0.0003783932,0.000180078],"domain_scores_gemma":[0.9985561,0.0002642782,0.0001871746,0.00005975083,0.0007765455,0.0001561686],"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":[0.00003461131,0.00003230519,0.00004279821,0.00009991759,0.0001682246,0.000004071093,0.00007757068,0.9549392,0.001456218,0.03841358,0.001744827,0.002986698],"study_design_scores_gemma":[0.0007453531,0.0001279503,0.0005931238,0.00004490097,0.00003299827,0.00001795847,0.00002724017,0.9793734,0.00005585278,0.01734336,0.001454574,0.00018329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1760471,0.0002229654,0.8226568,0.0003360891,0.0003746527,0.0001625559,0.00007097905,0.00005784873,0.00007101143],"genre_scores_gemma":[0.9855043,0.00001486791,0.0131064,0.0002345175,0.0009928382,0.000005450456,0.00008675781,0.00004788452,0.000007014146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8095504,"threshold_uncertainty_score":0.7482067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298852072368996,"score_gpt":0.2449567320071854,"score_spread":0.2219682112834955,"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."}}