{"id":"W2312806764","doi":"10.2514/6.2006-248","title":"Drag Prediction in Transitional Flow Over Two-Dimensional Airfoils","year":2006,"lang":"en","type":"article","venue":"44th AIAA Aerospace Sciences Meeting and Exhibit","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Airfoil; Drag; Flow (mathematics); Mechanics; Drag coefficient; Computer science; Drag divergence Mach number; Aerospace engineering; Geology; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002587817,0.0006013148,0.0008244039,0.000698456,0.0009134488,0.001250833,0.0007164615,0.0007952827,0.0007678406],"category_scores_gemma":[0.001208272,0.0002830083,0.0005099424,0.0003349278,0.0009429313,0.0006342406,0.0009654601,0.0006777289,0.0001020387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006327879,"about_ca_system_score_gemma":0.000892266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009922261,"about_ca_topic_score_gemma":0.003863237,"domain_scores_codex":[0.9998755,0.0000212503,0.000006205274,0.00001592223,0.00002536006,0.0000556749],"domain_scores_gemma":[0.9995012,0.000184458,0.00005334206,0.00004799904,0.00008082404,0.0001321641],"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":[0.001745292,0.000415145,0.0172256,0.0001039254,0.00005062511,0.0005932398,0.0002148814,0.9415773,0.02343699,0.003366251,0.0003658599,0.0109049],"study_design_scores_gemma":[0.000026193,0.000100458,0.002345414,0.000004255654,0.000004537951,0.00001876782,0.00002833006,0.9955648,0.001722128,0.0001307308,0.00004585901,0.000008556572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917688,0.0001021885,0.006641991,0.00003997168,0.00003702394,0.00001184009,0.00002431641,0.0001160961,0.001257682],"genre_scores_gemma":[0.9989531,0.00002448387,0.0006883824,0.000004545881,0.000005310438,0.000004047716,0.00001618189,0.00000815889,0.0002957125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009922261,"threshold_uncertainty_score":0.01972902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004736293089022384,"score_gpt":0.2012073951987776,"score_spread":0.1964711021097553,"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."}}