{"id":"W2509757814","doi":"10.1017/jfm.2016.565","title":"Effect of turbulence on the wake of a wall-mounted cube","year":2016,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; University of Southampton; Leverhulme Trust","keywords":"Wake; Turbulence kinetic energy; Turbulence; Boundary layer; Physics; Mechanics; Cube (algebra); K-epsilon turbulence model; Particle image velocimetry; Boundary layer thickness; Optics; Reynolds number; Intensity (physics); Anemometer; Stagnation point; Geometry; Mathematics; Heat transfer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000875549,0.0001535628,0.0003469319,0.0001178298,0.00001901168,0.00000701983,0.0003409928,0.00008177385,0.00006281211],"category_scores_gemma":[0.0002000298,0.00007425771,0.0002156266,0.0001409653,0.00001710918,0.00007713323,0.0000265201,0.0001746574,0.000008520931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006094133,"about_ca_system_score_gemma":0.00002442145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001938457,"about_ca_topic_score_gemma":9.761783e-7,"domain_scores_codex":[0.9988014,0.00006577549,0.0005131636,0.0000725846,0.0003753327,0.0001717326],"domain_scores_gemma":[0.9989182,0.0004205541,0.0001861822,0.0002670547,0.0001459486,0.00006204181],"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":[0.0002711543,0.00006396422,0.00002532114,0.0002008835,0.0002456314,0.00002083595,0.000128685,0.02028255,0.9478567,0.01909861,0.001845344,0.009960297],"study_design_scores_gemma":[0.001097701,0.00168203,0.00003097338,0.000761839,0.00008875521,0.00005764606,0.000006547535,0.6363804,0.35791,0.0008959562,0.0009485829,0.000139596],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890031,0.0005846503,0.008925219,0.0002921231,0.0007743604,0.0001393462,0.00001665675,0.0000180852,0.0002464707],"genre_scores_gemma":[0.9989355,0.0007521241,0.0001437774,0.00003161141,0.00006556912,0.000001856388,2.786901e-7,0.00002572233,0.00004359018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6160978,"threshold_uncertainty_score":0.3028142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004925095406859124,"score_gpt":0.2066771102192684,"score_spread":0.2017520148124092,"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."}}