{"id":"W2048690677","doi":"10.1002/pamm.200700222","title":"Aerodynamic optimization of Laval nozzle flow with shocks: Numerical investigation of active/passive shock control via expansion fans","year":2007,"lang":"en","type":"article","venue":"PAMM","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shock (circulatory); Mechanics; Boundary layer; Supersonic speed; Oblique shock; Aerodynamics; Nozzle; Boundary layer control; Moving shock; Shock wave; Flow separation; Physics; Materials science; 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":[0.0001119501,0.000156126,0.0002433185,0.0001212984,0.00003320913,0.000007686614,0.00009103334,0.00008082166,0.0000134184],"category_scores_gemma":[0.00002122459,0.0001481054,0.00005508966,0.0002882184,0.00005361412,0.0001260018,0.00001474627,0.0001156005,0.00000167435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009812536,"about_ca_system_score_gemma":0.00003937939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004174107,"about_ca_topic_score_gemma":0.00008927644,"domain_scores_codex":[0.9990224,0.00002197222,0.0003479767,0.0001603636,0.0002670069,0.000180284],"domain_scores_gemma":[0.9993551,0.0001443284,0.00009856974,0.0001387669,0.0001894773,0.00007374869],"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":[0.00007868474,0.00002535366,0.002460707,0.00004047086,0.00004972712,0.000002274184,0.0002143612,0.9686226,0.0240531,0.0002548468,0.000006673178,0.004191211],"study_design_scores_gemma":[0.0006532607,0.00009477877,0.03994329,0.00004191439,0.00003191825,0.000004939034,0.00005065241,0.9565169,0.002395323,0.0001172465,0.000002450495,0.0001473023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4489581,0.00001689307,0.55067,0.0000188906,0.0000709805,0.0001182737,0.00002897654,0.00004048775,0.00007734277],"genre_scores_gemma":[0.9758539,0.00001279919,0.02388227,0.00001551242,0.00003632269,0.00000654262,0.0001508463,0.00003314063,0.000008730097],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5268957,"threshold_uncertainty_score":0.6039564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003149549218436541,"score_gpt":0.1857252797682152,"score_spread":0.1825757305497787,"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."}}