{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000296585,0.0006029636,0.0006094783,0.0005718679,0.0006263031,0.0009725008,0.0009335406,0.001305627,0.002093008],"category_scores_gemma":[0.0007519851,0.000292912,0.0006120793,0.0004789437,0.0007149071,0.0005367233,0.0006854793,0.000468787,0.000312744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007925323,"about_ca_system_score_gemma":0.0008146018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008769786,"about_ca_topic_score_gemma":0.003882202,"domain_scores_codex":[0.9998448,0.00003419429,0.00001347352,0.00003565287,0.00003977361,0.00003209475],"domain_scores_gemma":[0.9997718,0.00009308884,0.00003757018,0.0000199102,0.00005397222,0.00002374887],"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":[0.00002513298,0.00002319502,0.001266393,0.00002648725,0.000006729568,0.0001030261,0.00004258064,0.9889784,0.004900315,0.002430821,0.0001693251,0.002027559],"study_design_scores_gemma":[0.0000051211,0.00001161706,0.0002826728,0.000003263102,0.000001815968,0.00001666311,0.00000778842,0.9985279,0.000421902,0.0002717504,0.0004443841,0.000005041744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5426172,0.000878262,0.4187088,0.0004187156,0.0001938004,0.0002530357,0.001121273,0.001107642,0.0347013],"genre_scores_gemma":[0.9599364,0.0003241389,0.03072731,0.00004530618,0.00002343969,0.0002108022,0.0004147557,0.00005766193,0.008260029],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008769786,"threshold_uncertainty_score":0.01743746,"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."}}