{"id":"W2330880033","doi":"10.1080/19942060.2013.11015463","title":"Turbulence Models of Separated Flow in Shock Wave Thrust Vector Nozzle","year":2013,"lang":"en","type":"article","venue":"Engineering Applications of Computational Fluid Mechanics","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbulence; Nozzle; Mechanics; Shock wave; Shock (circulatory); Physics; Flow (mathematics); Thrust; Turbulence modeling; Flow separation; Computational fluid dynamics; Jet (fluid); Aerospace engineering; Engineering; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001073542,0.0001960419,0.0002731681,0.0002686283,0.0000237929,0.00001689168,0.0002147296,0.00008954426,0.0000330154],"category_scores_gemma":[0.0000156421,0.0002364241,0.00007377879,0.0006559127,0.00001399424,0.0001771364,0.00004549823,0.0001514746,0.00001529695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000996107,"about_ca_system_score_gemma":0.00005057174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001954537,"about_ca_topic_score_gemma":0.000002276564,"domain_scores_codex":[0.9987373,0.000008620097,0.0005704367,0.0002000133,0.0002800561,0.0002036131],"domain_scores_gemma":[0.9991627,0.0001881192,0.00005687718,0.0002247871,0.0002972951,0.00007026532],"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":[0.000001702467,0.00004510547,0.000002262031,0.00008816092,0.00002651003,2.771096e-7,0.00006455439,0.9162453,0.00409369,0.07816397,0.0000500701,0.00121844],"study_design_scores_gemma":[0.0002138436,0.00001754227,0.0004000209,0.00004582168,0.000008007138,0.000004136036,0.000009804481,0.9742233,0.0004424969,0.02441549,0.0000253066,0.0001942655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1027571,0.000229142,0.8960725,0.00003239861,0.00009768589,0.0004592488,0.00009024943,0.000133676,0.0001279825],"genre_scores_gemma":[0.9110885,0.00003763838,0.08843708,0.000007441341,0.00002502713,0.0001791937,0.0001753523,0.00004040541,0.000009350068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8083314,"threshold_uncertainty_score":0.9641097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005984029744983628,"score_gpt":0.1884347023090435,"score_spread":0.1824506725640599,"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."}}