{"id":"W2210216947","doi":"10.1139/cjce-2014-0524","title":"A robust coupled 2-D model for rapidly varying flows over erodible bed using central-upwind method with wetting and drying","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Upwind scheme; Robustness (evolution); Shallow water equations; Finite volume method; Sediment transport; Computer simulation; Mechanics; Erosion; Waves and shallow water; Geology; Sediment; Geotechnical engineering; Computer science; Applied mathematics; Mathematics; Simulation; Mathematical analysis; Discretization; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004431725,0.0002223902,0.0003175682,0.0003718542,0.00009180686,0.0001355023,0.0001275153,0.00007397772,0.000004303833],"category_scores_gemma":[0.00008961943,0.0002328197,0.00007081583,0.0002148188,0.00001181168,0.0003171469,0.00001113417,0.0002535128,1.073271e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004135749,"about_ca_system_score_gemma":0.0005284913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002285917,"about_ca_topic_score_gemma":0.01170962,"domain_scores_codex":[0.9988062,0.0000090892,0.0003720831,0.000140145,0.0001770076,0.0004955203],"domain_scores_gemma":[0.9988152,0.0001065899,0.0000766461,0.00009495398,0.0001931722,0.0007133903],"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":[0.00000984884,0.000002162149,0.0002365126,0.00008121065,0.00008559551,0.00002650251,0.0005264033,0.9957851,0.00278824,0.0002219689,0.00003093903,0.0002055744],"study_design_scores_gemma":[0.0009549528,0.00003008749,0.000114466,0.0002380144,0.00006201039,0.0001700283,0.0000439177,0.9978766,0.00002744425,0.0001389171,0.00006987366,0.000273639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2784454,0.0005738363,0.7205139,0.00002114187,0.0002639673,0.0001036575,0.00001633248,0.00002404543,0.00003769982],"genre_scores_gemma":[0.8197434,0.000008420178,0.1799865,0.00002062528,0.0001551243,0.000002256013,0.000005274121,0.00007309564,0.0000053092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.541298,"threshold_uncertainty_score":0.9494114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282698103056531,"score_gpt":0.2139442727474603,"score_spread":0.1911172917168949,"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."}}