{"id":"W2070387651","doi":"10.1061/(asce)cp.1943-5487.0000209","title":"Three-Dimensional Simulation Parameters for 90° Open Channel Bend Flows","year":2012,"lang":"en","type":"article","venue":"Journal of Computing in Civil Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Volume of fluid method; Open-channel flow; Turbulence; Free surface; Mechanics; Reynolds stress; Large eddy simulation; Flow (mathematics); Simulation; Geometry; Engineering; Geotechnical engineering; Physics; Mathematics","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":[0.000822741,0.00009283639,0.0001738159,0.00006280727,0.00004855217,0.0000149292,0.0002091817,0.00005450954,0.00005933476],"category_scores_gemma":[0.00005876266,0.00008551336,0.00004974276,0.0001150872,0.00001294135,0.0004122465,0.00005794514,0.0001578679,0.000003869911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005754447,"about_ca_system_score_gemma":0.000007064112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001238689,"about_ca_topic_score_gemma":0.00005628189,"domain_scores_codex":[0.9991871,0.000008127262,0.0003210341,0.00008369988,0.0001515255,0.0002484978],"domain_scores_gemma":[0.9994838,0.0002540407,0.0001222066,0.00005452468,0.00001004648,0.00007533912],"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":[0.00002387149,0.00004938523,0.02190898,0.00001325688,0.00001135068,0.000002573068,0.0002842112,0.9767817,0.0004096387,0.000009462465,0.00002831527,0.000477309],"study_design_scores_gemma":[0.0005057724,0.00006659404,0.04219204,0.0000707568,0.00001290195,0.00001521527,0.000005455346,0.9559305,0.0002972513,0.000113296,0.0006866897,0.0001034936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8336905,0.0000874688,0.1656597,0.00005091878,0.0003203359,0.0001102085,5.860688e-7,0.000007800471,0.00007249093],"genre_scores_gemma":[0.9862666,0.000001196761,0.01356321,0.00005897453,0.00009433259,0.000001526703,0.000001293316,0.00001067814,0.00000225104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1525761,"threshold_uncertainty_score":0.3487134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303435802462066,"score_gpt":0.2562244637242908,"score_spread":0.2331901056996701,"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."}}