{"id":"W4416829309","doi":"10.2514/1.c038469","title":"Deep Iterative Convergence of Reynolds-Averaged Navier–Stokes Methods for High-Lift Aircraft Geometries","year":2025,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec; Bombardier","keywords":"Reynolds-averaged Navier–Stokes equations; Aerodynamics; Convergence (economics); Computational fluid dynamics; Consistency (knowledge bases); Focus (optics); Separation (statistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001947843,0.001152598,0.0006769826,0.000572576,0.000599956,0.001221206,0.001461678,0.001346168,0.002123369],"category_scores_gemma":[0.006636886,0.0005785462,0.0008036734,0.0002625085,0.001176074,0.001176222,0.002061087,0.00161382,0.0009175477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006054213,"about_ca_system_score_gemma":0.001497713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005349468,"about_ca_topic_score_gemma":0.006118012,"domain_scores_codex":[0.9993404,0.0002460212,0.00003679867,0.00006118791,0.0002478884,0.00006772257],"domain_scores_gemma":[0.9977974,0.00111939,0.0001736712,0.0002082926,0.0005718025,0.000129475],"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":[0.000106246,0.00009467251,0.002621453,0.000149621,0.00006256696,0.0001425778,0.0003502314,0.9253521,0.009577703,0.01580691,0.001295639,0.04444038],"study_design_scores_gemma":[0.000005351859,0.00001291277,0.00008013679,0.000006840029,9.630245e-7,0.000008355791,0.00001403595,0.997431,0.0006648337,0.001423428,0.0003481017,0.000004077401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04770584,0.000225411,0.9454399,0.0002486672,0.00007962972,0.0001108599,0.00006221182,0.0005525527,0.005574816],"genre_scores_gemma":[0.4073544,0.0002057069,0.586737,0.0001405352,0.00005265031,0.0002652508,0.0002445988,0.0004312918,0.004568577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005349468,"threshold_uncertainty_score":0.01063663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082560945426814,"score_gpt":0.2925709644297466,"score_spread":0.2817453549754784,"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."}}