{"id":"W2315702621","doi":"10.2514/6.2015-3292","title":"Optimization of the Aerodynamic Performance of Regional and Wide-Body-Class Blended Wing-Body Aircraft","year":2015,"lang":"en","type":"article","venue":"33rd AIAA Applied Aerodynamics Conference","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration","keywords":"Aerodynamics; Wing; Aerospace engineering; Class (philosophy); Computer science; Aeronautics; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002749636,0.0002737585,0.0003457473,0.00006092329,0.0001164901,0.00001894467,0.0006701205,0.0001726943,0.0000450167],"category_scores_gemma":[0.00008111413,0.0002178725,0.000054124,0.0004411302,0.001205898,0.0002270985,0.0005016713,0.0002689062,0.00001108899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134169,"about_ca_system_score_gemma":0.00009194875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004116336,"about_ca_topic_score_gemma":0.00007092955,"domain_scores_codex":[0.9981982,0.00004175316,0.0004480034,0.0004660655,0.0005188595,0.0003271576],"domain_scores_gemma":[0.9987538,0.00009178505,0.0003810241,0.0006107854,0.00006798919,0.00009465285],"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":[0.0004226337,0.0003827162,0.09119032,0.0001784888,0.00008635024,0.000003523981,0.0008235429,0.6168998,0.192675,0.08493495,0.0003905375,0.01201207],"study_design_scores_gemma":[0.00162171,0.0003032678,0.08527688,0.0001303534,0.00007033224,0.00002123893,0.0005899114,0.8881468,0.01236285,0.01045556,0.0003217102,0.0006994529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458852,0.00002459856,0.04593167,0.0004078636,0.0001010985,0.0004926344,0.00001505147,0.0001115451,0.007030323],"genre_scores_gemma":[0.9894171,0.0001067951,0.01011377,0.00007802663,0.000007054794,0.0000313706,0.00001613743,0.00002358656,0.0002061551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2712469,"threshold_uncertainty_score":0.8884583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141585644880389,"score_gpt":0.207205401493448,"score_spread":0.1930468370054091,"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."}}