{"id":"W2163210830","doi":"10.2514/6.2013-1502","title":"Aircraft Wind Tunnel Characterization using Modern Design of Experiments","year":2013,"lang":"en","type":"article","venue":"54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Intestinal Research; University of Victoria","funders":"","keywords":"Wind tunnel; Characterization (materials science); Aerospace engineering; Marine engineering; Aerodynamics; Engineering; Computer science; Environmental science; Materials science; Nanotechnology","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":[0.003422462,0.0007123302,0.0005399282,0.0005960088,0.0003155253,0.0006776716,0.000624745,0.0005680491,0.001678107],"category_scores_gemma":[0.003270588,0.0002937319,0.0004616428,0.000270976,0.000487177,0.0005773679,0.0007173387,0.0004815019,0.0001859697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000276323,"about_ca_system_score_gemma":0.0003221538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003487789,"about_ca_topic_score_gemma":0.0004541615,"domain_scores_codex":[0.9983878,0.0005942121,0.0001379496,0.0001922249,0.000548241,0.0001395839],"domain_scores_gemma":[0.9965565,0.001494427,0.0003803708,0.0007437841,0.0007289415,0.00009595229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002078518,0.0009616599,0.01475492,0.000933997,0.0001079407,0.0002235429,0.0007389775,0.2286484,0.5992665,0.003211293,0.0005051069,0.1485692],"study_design_scores_gemma":[0.0002432536,0.01687406,0.03469269,0.0001296732,0.000106013,0.0005210143,0.0005080856,0.5014206,0.4308009,0.002543612,0.0119828,0.0001772714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5104903,0.0002322863,0.4854271,0.0000374736,0.00005865422,0.0006643257,0.0003552288,0.0005725646,0.002162066],"genre_scores_gemma":[0.8781114,0.0001360192,0.1197583,0.00002020914,0.00001361329,0.0005683845,0.0002779066,0.00006106398,0.001053065],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003422462,"threshold_uncertainty_score":0.01809996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169085886172531,"score_gpt":0.2192114758518344,"score_spread":0.2023028872345813,"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."}}