{"id":"W1979155760","doi":"10.2514/2.1966","title":"Effect of Geometrical Parameters on the Mixing Performance of Cantilevered Ramp Injectors","year":2003,"lang":"en","type":"article","venue":"AIAA Journal","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mechanics; Materials science; Mach number; Injector; Ligand cone angle; Mixing (physics); Penetration (warfare); Expansion tunnel; Propellant; Angle of attack; Supersonic speed; Hypersonic speed; Aerospace engineering; Thermodynamics; Physics; Conical surface; Composite material; Aerodynamics; 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":[0.000486994,0.00008664784,0.0001516376,0.0001445518,0.00004610489,0.00001412128,0.0001092953,0.00003000903,0.00001914546],"category_scores_gemma":[0.0001770634,0.00005769095,0.00008456623,0.0003126758,0.00002507682,0.00003855025,0.000007812286,0.0002241882,0.000002047757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004787864,"about_ca_system_score_gemma":0.00001894183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003636847,"about_ca_topic_score_gemma":5.502437e-7,"domain_scores_codex":[0.9993223,0.00006048779,0.0002290103,0.00004952045,0.0002083647,0.0001303314],"domain_scores_gemma":[0.9991545,0.0006248366,0.00005908253,0.00008271409,0.00004056938,0.00003826211],"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":[0.00003086773,0.00001646233,0.01074316,0.00005327969,0.00008348647,0.0000029232,0.0000615093,0.9779008,0.002782334,0.001361086,0.0001118416,0.006852245],"study_design_scores_gemma":[0.0004299288,0.0005660394,0.01626427,0.00009619077,0.00002431153,0.0000682123,0.00001145678,0.9689838,0.01321969,0.0001671735,0.00005076752,0.0001181143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973603,0.00006642599,0.001854941,0.00001272301,0.0003110873,0.00005431156,0.000003497746,0.000008791337,0.0003279376],"genre_scores_gemma":[0.9995323,0.00005846906,0.0003601099,0.000009582561,0.00001586456,9.208819e-7,8.83449e-7,0.00001166325,0.00001014449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01043736,"threshold_uncertainty_score":0.2352569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005437388316086032,"score_gpt":0.1966833950566078,"score_spread":0.1912460067405218,"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."}}