{"id":"W4384338764","doi":"10.3390/w15142576","title":"Numerical Simulation of Sediment Transport in Unsteady Open Channel Flow","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Arizona; National Science Foundation","keywords":"Riemann solver; Sediment transport; Shallow water equations; Finite volume method; Godunov's scheme; Mechanics; Open-channel flow; Riemann problem; Bed load; Solver; Geology; Discontinuity (linguistics); Geotechnical engineering; Computer simulation; Applied mathematics; Flow (mathematics); Mathematics; Sediment; Numerical analysis; Mathematical analysis; Mathematical optimization; Physics; Riemann hypothesis; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002108053,0.0003024326,0.0004025125,0.0003620221,0.0004291115,0.0006320161,0.0005690265,0.0007588794,0.0005909489],"category_scores_gemma":[0.0006966581,0.0002267172,0.0002663016,0.0004116367,0.0007392682,0.0004850795,0.0004784092,0.0003360504,0.00006574497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008936232,"about_ca_system_score_gemma":0.001198703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298526,"about_ca_topic_score_gemma":0.01166468,"domain_scores_codex":[0.9998865,0.00002083671,0.000008143898,0.00001750615,0.00003452013,0.00003246728],"domain_scores_gemma":[0.9997799,0.00009151407,0.0000380953,0.00001938231,0.0000379433,0.00003323751],"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":[0.00002497726,0.00003217287,0.001268372,0.00000897747,0.000005733123,0.00005089436,0.00003264961,0.9919598,0.003588133,0.001649478,0.00005115411,0.00132772],"study_design_scores_gemma":[0.000004414612,0.000006731254,0.0002076336,5.678589e-7,7.539183e-7,0.000002651844,0.000004564078,0.9992704,0.0003228937,0.0001221949,0.0000553077,0.000001757236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319315,0.0001010975,0.06380344,0.0001013189,0.00003436934,0.00003953888,0.0001453217,0.0002087149,0.003634675],"genre_scores_gemma":[0.9897239,0.00004913778,0.008733919,0.00001199836,0.000005447489,0.00003294961,0.00007910008,0.000009681545,0.001353718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02298526,"threshold_uncertainty_score":0.04570293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138576546020294,"score_gpt":0.2423239511458253,"score_spread":0.2284662965437959,"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."}}