{"id":"W4377024290","doi":"10.2514/1.c037184","title":"Fourth AIAA High-Lift Prediction Workshop: Fixed-Grid Reynolds-Averaged Navier–Stokes Summary","year":2023,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Aerodynamics; Airfoil; Stall (fluid mechanics); Grid; Computer science; Reynolds number; Lift (data mining); Lift coefficient; Mathematics; Applied mathematics; Computational fluid dynamics; Mechanics; Aerospace engineering; Mathematical optimization; Physics; Geometry; Engineering; Turbulence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01362221,0.0016253,0.001226813,0.00143246,0.002464672,0.004710013,0.00288865,0.002202958,0.01253016],"category_scores_gemma":[0.01109358,0.0006485339,0.001455387,0.001169098,0.000863266,0.003374838,0.003319519,0.004445466,0.007247182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803906,"about_ca_system_score_gemma":0.00366097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01871048,"about_ca_topic_score_gemma":0.01857661,"domain_scores_codex":[0.9959073,0.0007761427,0.0001545572,0.0005531053,0.00220318,0.0004056353],"domain_scores_gemma":[0.9871557,0.001991947,0.0002495055,0.001657995,0.007267539,0.001677327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007110619,0.0007468858,0.01014645,0.000373353,0.0001378834,0.000353581,0.0004320539,0.08997905,0.007428227,0.003817307,0.7282997,0.1575745],"study_design_scores_gemma":[0.0003424176,0.000807552,0.014437,0.0006030617,0.0001055696,0.000185672,0.001659436,0.5290418,0.03585418,0.01549629,0.4011354,0.000331565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2333584,0.005671084,0.4480434,0.06618521,0.04502698,0.001692935,0.0609465,0.02625116,0.1128244],"genre_scores_gemma":[0.5734476,0.003215844,0.1927256,0.00407317,0.004593181,0.001598247,0.1306741,0.004915355,0.08475681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01871048,"threshold_uncertainty_score":0.07204199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007949502351263654,"score_gpt":0.2036915490679971,"score_spread":0.1957420467167334,"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."}}