{"id":"W2144534586","doi":"10.2514/2.1908","title":"Adaptivity, Sensitivity, and Uncertainty: Toward Standards of Good Practice in Computational Fluid Dynamics","year":2003,"lang":"en","type":"article","venue":"AIAA Journal","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Air Force","keywords":"Computational fluid dynamics; Sensitivity (control systems); Computer science; Mechanics; Physics; Engineering","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":[0.001147875,0.0001449122,0.0002272066,0.0001589109,0.00005576005,0.00006393285,0.00005241819,0.00006302445,0.00001024649],"category_scores_gemma":[0.0003062717,0.0001554248,0.00005163111,0.0002090867,0.0000483833,0.000254952,0.00003035704,0.0003335534,8.963507e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070075,"about_ca_system_score_gemma":0.0001818278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002226644,"about_ca_topic_score_gemma":0.0002487009,"domain_scores_codex":[0.9987447,0.0001335138,0.0003549437,0.0001212591,0.0004437584,0.0002017703],"domain_scores_gemma":[0.9988471,0.0005986221,0.00007791555,0.00006755156,0.0003172922,0.00009158057],"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":[0.00001660637,0.00004853031,0.001562452,0.00002399482,0.00005202045,0.00006871763,0.0001927489,0.9265996,0.0001550534,0.06701966,0.00004520859,0.004215394],"study_design_scores_gemma":[0.0006092864,0.00005831044,0.005888348,0.0000493734,0.00001743554,0.0009024376,0.0002412383,0.9796156,0.000009106862,0.01211041,0.0003404137,0.0001580725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6229942,0.0004811657,0.3727883,0.0005052582,0.0003467845,0.0001017288,0.00013658,0.00003140157,0.002614592],"genre_scores_gemma":[0.9907265,0.00022528,0.008930295,0.00004287092,0.00003054735,8.878586e-7,0.00001449114,0.0000219516,0.000007230556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3677322,"threshold_uncertainty_score":0.6338041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006100661226986559,"score_gpt":0.2389205383973831,"score_spread":0.2328198771703966,"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."}}