{"id":"W1589503301","doi":"10.1007/978-3-642-02225-8_31","title":"Direct Numerical Simulation of a Turbulent Flow with Pressure Gradients","year":2009,"lang":"en","type":"book-chapter","venue":"Springer proceedings in physics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Adverse pressure gradient; Pressure gradient; Turbulence; Aerodynamics; Mechanics; Flow (mathematics); Shear stress; Flow separation; Materials science; Geology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020323,0.0004965175,0.0006666225,0.0002498611,0.0004326926,0.0008432154,0.0009614025,0.0009991371,0.004490098],"category_scores_gemma":[0.0009940019,0.0004603118,0.0003661678,0.0002974771,0.0005776015,0.0005368272,0.0007884628,0.0007043438,0.0005027037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003977115,"about_ca_system_score_gemma":0.0005357027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00336261,"about_ca_topic_score_gemma":0.002995673,"domain_scores_codex":[0.9998595,0.00002324435,0.000005892942,0.00001676039,0.00008044921,0.00001425995],"domain_scores_gemma":[0.9995711,0.0002510636,0.00002319492,0.0000522289,0.00007378883,0.00002859542],"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":[0.0002175154,0.000150001,0.0007173022,0.0001978327,0.00003656213,0.0002162136,0.000128734,0.9420829,0.01754347,0.009135945,0.002223744,0.02734983],"study_design_scores_gemma":[0.00003446316,0.00002898689,0.0001374323,0.000004901915,0.000004120039,0.0000374496,0.000005656638,0.9951414,0.00256782,0.0009670384,0.001065271,0.00000537254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4046344,0.00163767,0.4944259,0.0006744913,0.0006279125,0.0002651461,0.0007526712,0.003257013,0.09372479],"genre_scores_gemma":[0.8631476,0.0004096188,0.1174094,0.0001096641,0.0000809171,0.0001726309,0.0003278582,0.0003521844,0.0179903],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004490098,"threshold_uncertainty_score":0.01502091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007610557565283361,"score_gpt":0.1944294736336294,"score_spread":0.1868189160683461,"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."}}