{"id":"W2070290895","doi":"10.5589/q14-006","title":"Airfoil performance studies with a trailing edge jet flap","year":2014,"lang":"en","type":"article","venue":"Canadian aeronautics and space journal","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Airfoil; Trailing edge; Wing; Chord (peer-to-peer); Lift coefficient; Leading edge; Aerodynamics; Lift (data mining); Aerospace engineering; Jet (fluid); Angle of attack; Engineering; Computer science; Mechanics; Structural engineering; Physics; Turbulence; Reynolds number","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001881289,0.0001442104,0.000164989,0.0001196928,0.0002421645,0.00009823971,0.00007661171,0.00004125596,0.000006884641],"category_scores_gemma":[0.00001769008,0.0001208009,0.00002522039,0.00007230185,0.00005226479,0.00008589916,0.000009553889,0.0002596658,0.000004019636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001410973,"about_ca_system_score_gemma":0.0001142852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000104611,"about_ca_topic_score_gemma":0.03731669,"domain_scores_codex":[0.9993306,0.00001020077,0.0001407531,0.00009663121,0.0001194291,0.000302337],"domain_scores_gemma":[0.9993977,0.00004239893,0.00002342754,0.00007601832,0.00008754366,0.0003729001],"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":[0.00001938586,0.00001623913,0.01720873,0.0002624941,0.000459641,0.00009675705,0.001730071,0.8553525,0.000316918,0.04783521,0.003567863,0.07313424],"study_design_scores_gemma":[0.0003222127,0.00009579815,0.0161744,0.00009053032,0.00002531837,0.0002567216,0.0001882095,0.9630293,0.000005569496,0.0003073593,0.01928725,0.0002173153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921132,0.000862564,0.003926448,0.0009201325,0.0003456555,0.00004120541,0.000007994153,0.00002593562,0.001756824],"genre_scores_gemma":[0.9964424,0.0008007477,0.002237641,0.0001540639,0.0001716076,0.000001237957,0.000003459273,0.00002539781,0.0001634151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1076769,"threshold_uncertainty_score":0.9802498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007362276358006258,"score_gpt":0.1864948647765654,"score_spread":0.1791325884185591,"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."}}