{"id":"W4390235983","doi":"10.3390/w16010085","title":"Numerical Simulation of Confluence Flow in a Degraded Bed","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Confluence; Reynolds-averaged Navier–Stokes equations; Volume of fluid method; Mechanics; Large eddy simulation; Turbulence; Open-channel flow; Flow (mathematics); Computer simulation; Vortex; Geology; Reynolds number; Flume; Dead zone; Channel (broadcasting); Geometry; Mathematics; Physics; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000291784,0.0003030506,0.000411017,0.000445012,0.0004153694,0.0005237662,0.0004473918,0.0007211634,0.0006828929],"category_scores_gemma":[0.0007801151,0.0001817779,0.0004233025,0.0003302245,0.0005643365,0.0002777578,0.0004192169,0.0003007723,0.00005304745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006160711,"about_ca_system_score_gemma":0.0007489306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132647,"about_ca_topic_score_gemma":0.01167263,"domain_scores_codex":[0.9998957,0.00002361423,0.000008627438,0.00001706642,0.00002044031,0.00003468648],"domain_scores_gemma":[0.9996198,0.0002042147,0.00005017572,0.00002198241,0.0000543744,0.00004940365],"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":[0.0001195065,0.0001011828,0.01243104,0.00002638479,0.000021336,0.0002004773,0.00009331499,0.9785151,0.005185625,0.0005204842,0.00009859883,0.00268688],"study_design_scores_gemma":[0.00001088574,0.00003207664,0.002001247,0.000001969561,0.000003278261,0.000009317154,0.00003392488,0.9972259,0.000558179,0.00005232681,0.00006718934,0.000003712999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948145,0.0000394641,0.003947409,0.00003756666,0.000009551359,0.00001331887,0.00007863379,0.00006272258,0.000996745],"genre_scores_gemma":[0.9973557,0.00001916404,0.002234567,0.000005204482,0.000001988099,0.00001070796,0.00006847837,0.000004374434,0.00029975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02132647,"threshold_uncertainty_score":0.04240471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507129685640634,"score_gpt":0.2432674813265454,"score_spread":0.2281961844701391,"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."}}