{"id":"W2331310660","doi":"10.2514/6.2016-1446","title":"Stochastic Models for Fast Analysis of Unsteady Wing Aerodynamics","year":2016,"lang":"en","type":"article","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Aerodynamics; Wing; Computer science; Aerospace engineering; Aeronautics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001325802,0.00009842316,0.0003672817,0.0004547167,0.00004198341,0.00002790416,0.0004289758,0.0000540488,0.0001059912],"category_scores_gemma":[0.001697903,0.00004951605,0.0002144982,0.0009887755,0.00006608998,0.0001810148,0.00004997469,0.00002337477,0.00001250124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003206159,"about_ca_system_score_gemma":0.00003988075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007737192,"about_ca_topic_score_gemma":0.0000210863,"domain_scores_codex":[0.9984772,0.0000276041,0.0004992295,0.0003074789,0.0004976803,0.0001908605],"domain_scores_gemma":[0.9963256,0.002697656,0.0001210694,0.000466508,0.0003178701,0.00007136443],"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":[0.00001264085,0.00001668346,0.00006890625,0.000002224382,0.0001375997,1.412662e-7,0.00006291199,0.9275365,0.0007519406,0.06328262,0.0001934,0.007934371],"study_design_scores_gemma":[0.0001844773,0.00003114162,0.0003570125,0.00001027153,0.0001896183,2.940522e-7,0.00007955027,0.9581211,0.00003216014,0.04088194,0.00002407186,0.0000883309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009908633,0.00001749939,0.9887839,0.0001178334,0.0001203215,0.0001386601,0.00005279707,0.00003586291,0.000824514],"genre_scores_gemma":[0.9749683,8.44718e-7,0.02184896,0.00001663307,0.00001690528,0.00001029371,0.000001792856,0.000007431651,0.003128899],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9669349,"threshold_uncertainty_score":0.2032671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030590546351638,"score_gpt":0.3320452832194661,"score_spread":0.2289862285843023,"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."}}