{"id":"W2318296491","doi":"10.2514/6.2014-3247","title":"2D Numerical and Experimental Investigation on the Effect of a Fowler Flap Gap and Overlap Size on the Flow Field","year":2014,"lang":"en","type":"article","venue":"32nd AIAA Applied Aerodynamics Conference","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computational fluid dynamics; Reynolds-averaged Navier–Stokes equations; Mechanics; Flow (mathematics); Fluent; Trailing edge; Wing; Solver; Boundary value problem; Simulation; Computer science; Aerospace engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003002773,0.0002673022,0.0002534397,0.00003490317,0.0001352117,0.00008575993,0.0001865544,0.00009497748,0.00002258575],"category_scores_gemma":[0.00009401824,0.0001721948,0.00004484264,0.000116208,0.0001356405,0.0000359658,0.00007902676,0.0002965037,0.00000744793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000353023,"about_ca_system_score_gemma":0.00001293783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009566577,"about_ca_topic_score_gemma":0.00001138241,"domain_scores_codex":[0.9989691,0.00007261729,0.000235529,0.0002764412,0.0002448587,0.0002014795],"domain_scores_gemma":[0.9970946,0.002467667,0.00005765412,0.0002786925,0.00002701011,0.00007436849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001566929,0.00003833402,0.000827671,0.000102319,0.00008710805,0.000001113512,0.0006600611,0.09865572,0.05534265,0.8327234,0.0002012277,0.01120375],"study_design_scores_gemma":[0.0003800571,0.0002989783,0.002349854,0.00005004787,0.00001541945,0.000002276995,0.0000563423,0.9874422,0.005337873,0.003837146,0.00002967268,0.000200163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857624,0.00002263328,0.009310076,0.0005680748,0.0001322219,0.0003912418,0.00001522077,0.00006047191,0.003737671],"genre_scores_gemma":[0.9991214,0.00001524256,0.0003169911,0.0003723709,0.00004580993,0.00006338052,0.00001560562,0.00002874202,0.0000205114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8887864,"threshold_uncertainty_score":0.7021902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008618680058085765,"score_gpt":0.1976455542083445,"score_spread":0.1890268741502587,"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."}}