{"id":"W3127114526","doi":"10.3390/hydrology8010027","title":"Numerical Modeling of Venturi Flume","year":2021,"lang":"en","type":"article","venue":"Hydrology","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Flume; Venturi effect; Large eddy simulation; Turbulence; Discharge coefficient; Computational fluid dynamics; Mechanics; Curvilinear coordinates; Flow (mathematics); Environmental science; Meteorology; Geotechnical engineering; Simulation; Geology; Mathematics; Engineering; Inlet; Geometry; Physics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00002225888,0.00005754163,0.0001453593,0.00002259744,0.00001095622,0.000002190179,0.00005520952,0.00007407012,0.0002212797],"category_scores_gemma":[0.00001400942,0.00005841834,0.0000412823,0.00006188299,0.00001316012,0.00001586172,0.00001277119,0.00009198734,0.00002026359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000693961,"about_ca_system_score_gemma":0.00001030101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007563796,"about_ca_topic_score_gemma":0.000003365773,"domain_scores_codex":[0.9995987,0.00001484797,0.000119907,0.00008230839,0.00004814847,0.0001360354],"domain_scores_gemma":[0.9998079,0.00001290565,0.000006608616,0.0001276142,0.00001395771,0.00003102905],"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":[0.000002565496,0.000005215871,0.0001034829,0.00002066034,0.00002315732,0.0000317265,0.0001382462,0.9904371,0.007277913,0.0004242288,0.0002264687,0.001309233],"study_design_scores_gemma":[0.000110474,0.00001170329,0.00008664101,0.000002516586,0.000006347424,0.0000400989,0.000004938101,0.9879257,0.006600013,0.001191087,0.003963597,0.000056852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600207,0.001085585,0.02253686,0.00010706,0.0004496749,0.00002174759,0.00000236789,0.00009836855,0.01567766],"genre_scores_gemma":[0.9991968,0.00002493055,0.0005836412,0.00007574628,0.00006701353,0.000001885735,0.00000607785,0.00001045767,0.00003343735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03917613,"threshold_uncertainty_score":0.2422857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007573001080359946,"score_gpt":0.2029634033675743,"score_spread":0.1953904022872144,"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."}}