{"id":"W2314447456","doi":"10.2514/6.2014-0905","title":"Aerodynamically Optimal Regional Aircraft Concepts: Conventional and Blended-Wing-Body Designs","year":2014,"lang":"en","type":"article","venue":"52nd Aerospace Sciences Meeting","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wing; Aeronautics; Computer science; Aerodynamics; Aerospace engineering; Wingtip device; Automotive engineering; Engineering; Marine engineering; Simulation","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009417227,0.0002558896,0.0002405512,0.0001082326,0.000463855,0.0002295537,0.000307523,0.00008691348,0.00002625647],"category_scores_gemma":[0.0001223386,0.0002548991,0.00008411203,0.0003475383,0.0005066523,0.0002894998,0.0001015092,0.0002077469,0.00001832682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007109177,"about_ca_system_score_gemma":0.00007116119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001676909,"about_ca_topic_score_gemma":0.0000428602,"domain_scores_codex":[0.9980965,0.00006720583,0.0003325811,0.0004738156,0.0005395385,0.0004903706],"domain_scores_gemma":[0.9991047,0.0004091144,0.00007414005,0.0001388432,0.00009808445,0.0001750788],"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":[0.000007058376,0.00002825966,0.004040977,0.00004991143,0.00003129511,0.000003153259,0.0001709145,0.8994828,0.02136207,0.07303688,0.0004817902,0.001304916],"study_design_scores_gemma":[0.0003460244,0.00008209013,0.006948397,0.00009524648,0.00001229544,0.00002711378,0.0001438973,0.9898187,0.00008843719,0.001381069,0.0007207638,0.0003359731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8525789,0.0002577842,0.141878,0.0008013027,0.0004586256,0.0001517606,0.00001101865,0.0002802973,0.003582295],"genre_scores_gemma":[0.9592445,0.00004433018,0.04018253,0.0001392629,0.0001659134,0.00001033768,0.00002087509,0.00002787388,0.0001644136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1066655,"threshold_uncertainty_score":0.9999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282203357643014,"score_gpt":0.2483950986012331,"score_spread":0.235573065024803,"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."}}