{"id":"W2319048966","doi":"10.2514/6.2008-551","title":"Influence of Angle of Attack on the Helicopter Blade-Vortex Mechanism of Interaction Using Large Eddy Simulation","year":2008,"lang":"en","type":"article","venue":"46th AIAA Aerospace Sciences Meeting and Exhibit","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Vortex; Blade (archaeology); Mechanism (biology); Angle of attack; Large eddy simulation; Aerospace engineering; Mechanics; Physics; Geology; Engineering; Mechanical engineering; Aerodynamics; Turbulence","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":[0.0004580543,0.0001107651,0.0001746511,0.00008912637,0.0001504553,0.00001278195,0.0001207566,0.00004945944,0.000007264156],"category_scores_gemma":[0.00007675937,0.00008320077,0.0000456312,0.0002889831,0.0001512485,0.0001660154,0.00004016609,0.00009315185,0.000001343645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001633668,"about_ca_system_score_gemma":0.00001860523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000831529,"about_ca_topic_score_gemma":0.00001593049,"domain_scores_codex":[0.9990888,0.00002860199,0.0002662978,0.0001602184,0.0002737677,0.0001823381],"domain_scores_gemma":[0.9994631,0.0001479621,0.0001395835,0.0001418879,0.00007518506,0.00003224186],"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":[0.000005818823,0.00001728493,0.002372542,0.00004059587,0.000006777771,3.234958e-7,0.000798323,0.9356522,0.0603379,0.0007261088,0.000007045637,0.00003510063],"study_design_scores_gemma":[0.0001364258,0.00009824662,0.001837151,0.0002335707,0.000008972673,0.000002740262,0.0002011233,0.9609573,0.03636345,0.00005577329,0.00001860002,0.00008665029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978331,0.0001050821,0.001174094,0.00003026919,0.0001102654,0.0001081803,0.000007259328,0.00002296348,0.000608741],"genre_scores_gemma":[0.9992038,0.00006112745,0.0006663362,0.00002052748,0.00002015197,0.000001376361,8.176766e-7,0.00000880202,0.00001706904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02530512,"threshold_uncertainty_score":0.3392829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158608809957562,"score_gpt":0.265073456367037,"score_spread":0.2334873682674614,"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."}}