{"id":"W4221058897","doi":"10.1088/1742-6596/2228/1/012038","title":"Analysis of Turbulent Boundary Layer Jet Flow Pattern of Laval Nozzle","year":2022,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Mechanics; Boundary layer; Turbulence; Jet (fluid); Turbulence kinetic energy; Mach number; Work (physics); Rocket engine nozzle; Physics; Range (aeronautics); Flow (mathematics); Materials science; Thermodynamics; Aerospace engineering; Engineering","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":[0.0001380475,0.0001061642,0.0003896459,0.000147571,0.0000453239,0.00002199039,0.0001993023,0.00001766349,0.0001031059],"category_scores_gemma":[0.000005396625,0.0001036748,0.0002369969,0.0003884116,0.00004505287,0.0001572266,0.00006298408,0.0001928854,3.354057e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004768868,"about_ca_system_score_gemma":0.0001111711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001908008,"about_ca_topic_score_gemma":0.00003589266,"domain_scores_codex":[0.9989842,0.00002857056,0.0004368166,0.00006575031,0.0003837832,0.0001009509],"domain_scores_gemma":[0.9992915,0.00004589656,0.0002210434,0.0001155211,0.0002896414,0.00003638016],"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":[0.00002376694,0.00007213494,0.002803103,0.00004568952,0.0008429994,0.000007744621,0.000912108,0.9694499,0.009690426,0.00230063,0.00008197506,0.01376949],"study_design_scores_gemma":[0.000227052,0.0001884485,0.01078311,0.00002337664,0.0003512081,0.00001371799,0.0004186461,0.9796253,0.00505389,0.002854743,0.0003160136,0.0001445349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9002347,0.0001069024,0.09898032,0.00008957012,0.0002664206,0.00003063856,0.0001900969,0.000008569064,0.00009275738],"genre_scores_gemma":[0.999078,0.00007359067,0.0007104336,0.00001239269,0.00005441856,0.000001300887,0.00003718166,0.00001207483,0.000020546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09884334,"threshold_uncertainty_score":0.4227737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010707804170619,"score_gpt":0.2161896345729502,"score_spread":0.2054818304023312,"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."}}