{"id":"W2139604219","doi":"10.1007/s11081-007-9003-5","title":"Application of a sensitivity equation method to the k–ε model of turbulence","year":2007,"lang":"en","type":"article","venue":"Optimization and Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Air Force Office of Scientific Research","keywords":"Sensitivity (control systems); Turbulence; Closure (psychology); K-epsilon turbulence model; Turbulence modeling; K-omega turbulence model; Flow (mathematics); Applied mathematics; Mathematics; Mathematical optimization; Mechanics; Physics; Engineering","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":[0.001081379,0.0006701541,0.001004948,0.0006802295,0.0005273221,0.0008729031,0.0008423011,0.001295609,0.00158566],"category_scores_gemma":[0.003451109,0.0006054239,0.001378153,0.0004607464,0.001119587,0.0008930269,0.001506957,0.0013782,0.0002233154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000608956,"about_ca_system_score_gemma":0.001067631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005933412,"about_ca_topic_score_gemma":0.002547373,"domain_scores_codex":[0.9996101,0.0001960511,0.00001859191,0.00005234862,0.00009902931,0.00002386508],"domain_scores_gemma":[0.9986441,0.001021538,0.00008688839,0.00007163388,0.0001361755,0.00003967152],"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":[0.00002368472,0.00004593515,0.0003036462,0.00005139255,0.0000605465,0.00007170354,0.00004978202,0.9452223,0.004382203,0.03589071,0.0003363299,0.01356174],"study_design_scores_gemma":[0.000001825772,0.000004485857,0.00003247322,0.000001568843,0.000002663969,0.000006799589,0.000001317102,0.9973437,0.0002264889,0.002212171,0.0001625795,0.000004056025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009074331,0.0001472075,0.98822,0.0001491234,0.00005110166,0.00003057138,0.00001871332,0.0001028407,0.002206059],"genre_scores_gemma":[0.7691512,0.0006455688,0.2209649,0.0001686639,0.0001530813,0.0002056573,0.000100405,0.000218862,0.008391635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005933412,"threshold_uncertainty_score":0.01179773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05784106484674485,"score_gpt":0.3137366843848266,"score_spread":0.2558956195380818,"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."}}