{"id":"W4312393760","doi":"10.18178/ijesd.2022.13.6.1399","title":"The Effects of Porous Baffles on the Hydraulic Performance of Sediment Retention Ponds — A Numerical Modelling Study","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Development","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"China Scholarship Council; Natural Environment Research Council; Sight Research UK","keywords":"Baffle; Reynolds-averaged Navier–Stokes equations; Turbulence; Mechanics; Reynolds number; Flow (mathematics); Residence time distribution; Porosity; Environmental science; Dissipation; Computer simulation; Dead zone; Residence time (fluid dynamics); Hydraulics; Flow conditions; Turbulence kinetic energy; Geotechnical engineering; Geology; Engineering; Thermodynamics; Mechanical engineering; 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":[0.0004671763,0.0004017766,0.0004641557,0.0005418683,0.000527711,0.0009534903,0.0005451904,0.0008727891,0.0006141008],"category_scores_gemma":[0.001388392,0.0001993593,0.0005628534,0.0004564288,0.0008217761,0.0007503161,0.0005319275,0.0003166183,0.0001090213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006524797,"about_ca_system_score_gemma":0.0005730306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004963693,"about_ca_topic_score_gemma":0.002819581,"domain_scores_codex":[0.9997444,0.00005909059,0.00002250389,0.00004163859,0.00006906137,0.00006332721],"domain_scores_gemma":[0.9990942,0.0005153557,0.0001633954,0.00009410949,0.00009673731,0.00003621755],"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":[0.0001229875,0.00007950637,0.007734061,0.00009715791,0.00001912751,0.0002348764,0.00006206612,0.939664,0.04317925,0.001281058,0.00006640275,0.007459483],"study_design_scores_gemma":[0.00001490873,0.0002099211,0.004071607,0.00001231256,0.00001968444,0.00006949883,0.00006603528,0.9759579,0.01873846,0.0004365605,0.0003780633,0.00002506995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590642,0.0002701245,0.03794475,0.00007243967,0.00001625096,0.00003920571,0.00009371976,0.0001804404,0.002318838],"genre_scores_gemma":[0.9978205,0.00008336679,0.001847878,0.000003341863,0.000001756536,0.00001049953,0.00001552121,0.000003946008,0.0002132658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004963693,"threshold_uncertainty_score":0.009869635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00644889420731081,"score_gpt":0.1940902128008224,"score_spread":0.1876413185935116,"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."}}