{"id":"W2475039138","doi":"10.1017/jfm.2016.404","title":"Reynolds stress distribution and turbulence generated secondary flow in the turbulent three-dimensional wall jet","year":2016,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbulence; Reynolds stress; Reynolds number; Vorticity; Jet (fluid); Mechanics; Physics; Particle image velocimetry; Turbulence kinetic energy; Reynolds stress equation model; Classical mechanics; Vortex; K-omega turbulence model","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009808996,0.0001376382,0.0001462917,0.0004745196,0.0001430246,0.0004512562,0.00008972757,0.0001632828,0.0004056585],"category_scores_gemma":[0.0001839804,0.00008889492,0.000124148,0.0002969449,0.0003270872,0.0001866289,0.000115983,0.0002163967,0.00008729964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965787,"about_ca_system_score_gemma":0.0001126816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008033323,"about_ca_topic_score_gemma":0.0004023845,"domain_scores_codex":[0.9999356,0.000004886161,0.000004458313,0.00001253734,0.00002662974,0.00001600693],"domain_scores_gemma":[0.9997773,0.00003763831,0.00007374593,0.00000691822,0.00005516741,0.00004925946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002370224,0.00008911272,0.02907928,0.00003459058,0.00001364256,0.0006690252,0.0002521375,0.007731511,0.9507266,0.001841411,0.0002061746,0.009119539],"study_design_scores_gemma":[0.00003582548,0.0004943453,0.5534782,0.00002193523,0.00002161696,0.0005786314,0.000540406,0.1276136,0.3145268,0.001498893,0.001057604,0.0001322639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970023,0.00006964658,0.002309046,0.000009993052,0.000004230752,0.000002750423,0.00005942979,0.00002808534,0.0005143484],"genre_scores_gemma":[0.9988949,0.00005059642,0.0007163203,0.000004553018,0.000003412199,0.000003739703,0.00009325056,0.000007571191,0.0002256553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008033323,"threshold_uncertainty_score":0.001597345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007217311713229396,"score_gpt":0.1899068356627539,"score_spread":0.1826895239495245,"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."}}