{"id":"W2076408582","doi":"10.1002/fld.978","title":"Finite‐difference 4th‐order compact scheme for the direct numerical simulation of instabilities of shear layers","year":2005,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Discretization; Finite difference; Finite difference method; Mathematics; Stream function; Direct numerical simulation; Grid; Temporal discretization; Compact finite difference; Flow (mathematics); Context (archaeology); Flux limiter; Mathematical analysis; Applied mathematics; Geometry; Mechanics; Reynolds number; Turbulence; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008100575,0.0001591535,0.0003466273,0.0001743761,0.00004631259,0.00003387999,0.0004032967,0.00008002928,0.00006616553],"category_scores_gemma":[0.001530556,0.0001199096,0.0002375398,0.0001957363,0.00007010692,0.0001278615,0.00003003571,0.0002375813,7.57822e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493733,"about_ca_system_score_gemma":0.00003859531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001926747,"about_ca_topic_score_gemma":0.000001343452,"domain_scores_codex":[0.9985323,0.00009368815,0.0007156339,0.0001312321,0.0003150273,0.0002121115],"domain_scores_gemma":[0.9952506,0.004037861,0.0001081606,0.0001344891,0.0004091655,0.00005972976],"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":[0.0001606113,0.00008141033,0.001036841,0.00002811213,0.0001473528,3.389666e-7,0.0002362642,0.9458288,0.002774448,0.001150431,0.00009873113,0.04845665],"study_design_scores_gemma":[0.0006706621,0.0001110091,0.001297957,0.00005084619,0.00001865858,0.000004544136,0.00004604101,0.9843104,0.001640925,0.001415192,0.01031089,0.000122909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02044087,0.000553111,0.9765737,0.0004266321,0.001301545,0.0002475416,0.00007488242,0.00002366718,0.0003580425],"genre_scores_gemma":[0.6965058,0.00008649525,0.3030304,0.00005080792,0.0002072844,0.00001753693,0.000006927573,0.00002538639,0.00006941822],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6760649,"threshold_uncertainty_score":0.4889773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04038329646181895,"score_gpt":0.3754013997891069,"score_spread":0.3350181033272879,"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."}}