{"id":"W4385859443","doi":"10.1007/978-3-031-34593-7_45","title":"Large Eddy Simulation of Near-Bed Flow Over Bottom Roughness in Open Channel","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Large eddy simulation; Turbulence; Mechanics; Open-channel flow; Geology; Flow (mathematics); Computational fluid dynamics; Geotechnical engineering; Geometry; Physics; Mathematics","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":[0.0003175672,0.000366789,0.0006956152,0.0003426165,0.0005536933,0.000799965,0.001007686,0.001429382,0.002298784],"category_scores_gemma":[0.001227979,0.000439621,0.0004715727,0.0004321502,0.0006044754,0.0007559274,0.0004369171,0.0006657299,0.0001603397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008922708,"about_ca_system_score_gemma":0.0009004059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04088173,"about_ca_topic_score_gemma":0.02704005,"domain_scores_codex":[0.9998927,0.00002648906,0.000007390199,0.00002322323,0.00001927574,0.00003091941],"domain_scores_gemma":[0.999022,0.000684285,0.00005068284,0.00004628966,0.00008034067,0.0001163503],"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":[0.0001498604,0.000160652,0.004089549,0.0000198532,0.00002543567,0.00006982256,0.00002745176,0.990878,0.001181696,0.0006966742,0.0004352325,0.002265645],"study_design_scores_gemma":[0.00001537683,0.00001572908,0.001018478,0.000001123332,0.000002093012,0.000003502823,0.000009756313,0.9986676,0.0001263841,0.00009965543,0.00003673671,0.000003554098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864315,0.0001369579,0.007618111,0.0001924888,0.00006349703,0.00002220189,0.0004624836,0.000379855,0.004692903],"genre_scores_gemma":[0.9965,0.00003369796,0.001950715,0.00002565701,0.0000127423,0.000009983942,0.0001839856,0.00003440351,0.001248895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04088173,"threshold_uncertainty_score":0.0812875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218513808390459,"score_gpt":0.2318625933602007,"score_spread":0.2196774552762961,"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."}}