{"id":"W1988386574","doi":"10.1080/10407790.2014.964531","title":"Turbulent Dispersion of a Passive Scalar in a Staggered Array of Cubes","year":2014,"lang":"en","type":"article","venue":"Numerical Heat Transfer Part B Fundamentals","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Defence Research and Development Canada; University of Manitoba","funders":"","keywords":"Turbulence; Mechanics; Scalar (mathematics); Turbulence kinetic energy; Reynolds-averaged Navier–Stokes equations; Boundary layer; Mean flow; Context (archaeology); Reynolds number; Physics; Dissipation; Dispersion (optics); Optics; Computational physics; Mathematics; Geometry; Geology; Thermodynamics","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":[0.000191237,0.0002377509,0.0003115964,0.0002980948,0.0003576659,0.0005405667,0.0004370585,0.0002622906,0.0003546261],"category_scores_gemma":[0.0005766104,0.0001549639,0.0002309621,0.0003771833,0.0007021212,0.0004835575,0.0004688607,0.0003359349,0.00005934291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004914838,"about_ca_system_score_gemma":0.0004921833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00339708,"about_ca_topic_score_gemma":0.002289728,"domain_scores_codex":[0.9998528,0.00001444036,0.000006894168,0.0000366292,0.00005980975,0.00002939996],"domain_scores_gemma":[0.9995105,0.0001775229,0.0001117553,0.00006866553,0.00006918666,0.00006229226],"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":[0.0008743006,0.0005005557,0.01470086,0.00006738129,0.00007085209,0.0004777281,0.0002884147,0.6712366,0.2989998,0.002059664,0.0001878007,0.0105361],"study_design_scores_gemma":[0.00008933733,0.0009775646,0.01418128,0.000005884528,0.00002399515,0.000080465,0.0001415157,0.9232753,0.0603414,0.0004491054,0.0003928751,0.00004135431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964558,0.00001384177,0.003193861,0.000009123256,0.000003884786,0.000004880235,0.00001767001,0.00002601548,0.0002748892],"genre_scores_gemma":[0.9969466,0.00001125374,0.002773784,0.000003696546,0.000001345488,0.000004898263,0.00003609107,0.000002983457,0.0002193875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00339708,"threshold_uncertainty_score":0.006754637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055481529733219,"score_gpt":0.223597029891267,"score_spread":0.2130422145939348,"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."}}