{"id":"W2997499168","doi":"10.2514/6.2020-1542","title":"Effect of Target Lift Coefficient on Aerodynamic Optimization of Transonic Leading Edge Tubercles","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Aerodynamics and Fluid Dynamics Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Transonic; Aerodynamics; Lift coefficient; Aerospace engineering; Wing; Leading edge; Lift (data mining); Airfoil; Computer science; Automotive engineering; Physics; Mechanics; 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":[0.0003472168,0.0002295347,0.0004270323,0.000148147,0.00005733189,0.00002204617,0.0003460217,0.0001356916,0.00005687433],"category_scores_gemma":[0.00009063933,0.0002209811,0.000160709,0.00076378,0.00009792041,0.00008900302,0.00006465024,0.000297941,0.00002362505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008061166,"about_ca_system_score_gemma":0.00002937005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009113494,"about_ca_topic_score_gemma":0.00001482145,"domain_scores_codex":[0.9984242,0.00006467982,0.0004026717,0.0002884376,0.0004025112,0.0004174398],"domain_scores_gemma":[0.9993272,0.000155348,0.00005412583,0.0002558063,0.00006598509,0.0001415663],"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":[0.0000782054,0.00002518588,0.0003610443,0.0003700446,0.00004620113,0.000003296442,0.0001330367,0.9345714,0.06134839,0.0006631589,0.0002510337,0.002149027],"study_design_scores_gemma":[0.0005045623,0.0008465318,0.0001624841,0.0000791925,0.00001849507,0.000001163098,0.00003027593,0.9826979,0.01534066,0.00001823605,0.0001230917,0.0001774079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7217019,0.0004030591,0.2748855,0.0006549418,0.0002219382,0.000612903,0.0001465914,0.0002098895,0.001163241],"genre_scores_gemma":[0.998116,0.0001552283,0.00147979,0.00003965393,0.00002852448,0.00001646402,0.00007278269,0.00006693615,0.00002463975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.276414,"threshold_uncertainty_score":0.9011347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005426067706200265,"score_gpt":0.2306899830529255,"score_spread":0.2252639153467252,"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."}}