{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000812143,0.00005229932,0.00008870936,0.00006029993,0.000008539657,0.000006897311,0.00007718844,0.00002417564,0.00002200373],"category_scores_gemma":[8.566785e-7,0.00004343554,0.00001950108,0.0001157618,0.000003854291,0.00005706418,0.00001756382,0.00003753196,0.00003664323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002463578,"about_ca_system_score_gemma":0.000003401703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002909549,"about_ca_topic_score_gemma":0.00001579793,"domain_scores_codex":[0.9995961,0.000004558688,0.0001433726,0.00007091541,0.00007749879,0.0001075972],"domain_scores_gemma":[0.9998958,0.00001400919,0.000004299419,0.00005650311,0.00001182729,0.00001753221],"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":[0.000004137516,0.00001029018,0.0003970934,0.00001668798,0.000006338919,0.000004229302,0.000358535,0.9980726,0.0005980509,0.00005322005,0.00001767107,0.0004611081],"study_design_scores_gemma":[0.000194383,0.000008799489,0.01083119,0.0000104844,0.000001790872,1.940343e-7,0.000007753689,0.9879609,0.0002389141,0.0005327528,0.00015342,0.00005937523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731684,0.000003945171,0.02590776,0.00009824728,0.0001799527,0.0001387533,0.0000139121,0.00006166461,0.0004273057],"genre_scores_gemma":[0.9994868,0.000002601633,0.0001779942,0.00001107883,0.00001506357,0.000007083518,0.0001869696,0.00001273702,0.00009964518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02631837,"threshold_uncertainty_score":0.177125,"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."}}