{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008547601,0.00003732992,0.0000617274,0.00002070073,0.00001560044,0.0000015392,0.00005815474,0.00003516117,0.001774154],"category_scores_gemma":[0.000006001634,0.00002594172,0.00001252008,0.0001226909,0.00005598368,0.0000766205,0.00001208408,0.00003712954,0.0006510494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007069247,"about_ca_system_score_gemma":0.00000131051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006715536,"about_ca_topic_score_gemma":0.00001656643,"domain_scores_codex":[0.9995856,0.00001247231,0.00009853791,0.0001002338,0.00008093644,0.0001221656],"domain_scores_gemma":[0.9998986,0.00002077103,0.000008488226,0.00005376894,0.000001477963,0.00001695929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000264046,0.00002994913,0.274569,0.000007886688,0.000002268314,0.00001365805,0.001653291,0.6903859,0.03261109,0.000002323569,0.00003109304,0.0006672072],"study_design_scores_gemma":[0.0006469321,0.00007704277,0.4184719,0.00001158311,0.000007919708,9.759738e-7,0.00002729088,0.3071693,0.2691286,0.001207605,0.003090463,0.000160356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989454,0.000002154558,0.0002442403,0.000253187,0.00002081097,0.00004801221,6.994928e-7,0.00002257783,0.0004629077],"genre_scores_gemma":[0.9997028,0.000001473699,0.00007467826,0.00009121477,0.000003282172,0.000005025289,0.00001171123,0.000002702219,0.0001071758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3832166,"threshold_uncertainty_score":0.9991384,"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."}}