{"id":"W4405612631","doi":"10.1016/j.ast.2024.109892","title":"Numerical analysis of the performance and drag reduction mechanisms of outboard horizontal stabilizers","year":2024,"lang":"en","type":"article","venue":"Aerospace Science and Technology","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drag; Reduction (mathematics); Lift-induced drag; Aerospace engineering; Mechanics; Computer science; Control theory (sociology); Marine engineering; Drag coefficient; Environmental science; Engineering; Physics; Mathematics; Geometry; Control (management); Artificial intelligence","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":[0.0002585422,0.0003701016,0.0003802887,0.0003972195,0.0003987251,0.0005696184,0.0003805718,0.0004272505,0.00133716],"category_scores_gemma":[0.0005064255,0.0001199485,0.0003573828,0.0002454439,0.0004601771,0.0002639898,0.0003646511,0.0002420078,0.00016385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002988928,"about_ca_system_score_gemma":0.000310937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002901776,"about_ca_topic_score_gemma":0.002172258,"domain_scores_codex":[0.9998952,0.00001793262,0.000005843724,0.00001276249,0.0000361818,0.00003201402],"domain_scores_gemma":[0.9997365,0.00009367002,0.00006604709,0.00002341453,0.00005171588,0.0000286981],"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":[0.0004869302,0.0001555886,0.01138058,0.0002184995,0.00003567981,0.0006949311,0.0001902447,0.8620607,0.105655,0.002743431,0.0005837787,0.0157947],"study_design_scores_gemma":[0.00003310056,0.000444954,0.004691201,0.00001887479,0.000018797,0.00005021944,0.0001361932,0.9780726,0.01576818,0.0002599807,0.0004893633,0.0000164559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905921,0.0001133422,0.004848677,0.00005293313,0.00001890704,0.00001644117,0.00007444039,0.00007322013,0.004210025],"genre_scores_gemma":[0.9976113,0.00004552637,0.001691056,0.000006142338,0.000002035672,0.000008932773,0.00003454711,0.000005123275,0.0005953845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002901776,"threshold_uncertainty_score":0.005769789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002610932164103486,"score_gpt":0.1946154830179106,"score_spread":0.1920045508538071,"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."}}