{"id":"W2761227598","doi":"10.1007/s10652-017-9549-5","title":"Modelling hydraulic jump using the bubbly two-phase flow method","year":2017,"lang":"en","type":"article","venue":"Environmental Fluid Mechanics","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanics; Turbulence; Hydraulic jump; Boundary layer; Turbulence modeling; Shear stress; Turbulence kinetic energy; Reynolds stress; Volume of fluid method; Jet (fluid); Flow (mathematics); K-epsilon turbulence model; Geology; Meteorology; Physics","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":[0.0003750109,0.0005834216,0.001023335,0.0005580732,0.0005034879,0.001038982,0.001210585,0.002522097,0.004369274],"category_scores_gemma":[0.001118754,0.000497764,0.0006835144,0.0003567058,0.0008808215,0.001061673,0.0009039914,0.0009135742,0.0003168097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007336354,"about_ca_system_score_gemma":0.001338606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01330429,"about_ca_topic_score_gemma":0.00671379,"domain_scores_codex":[0.9998611,0.00003676108,0.00000839776,0.00002363576,0.00004322085,0.00002690114],"domain_scores_gemma":[0.9996146,0.0002182655,0.00003600671,0.00002218358,0.00006763548,0.00004129659],"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":[0.00004539621,0.0000473987,0.0003440034,0.00005141976,0.00001331493,0.00006512594,0.00002788795,0.985576,0.003790428,0.006847231,0.000205953,0.00298577],"study_design_scores_gemma":[0.00000681338,0.000006299129,0.00004309759,0.000001442853,0.000001616008,0.00000309381,0.000002619033,0.9992722,0.00021783,0.0003047789,0.0001376428,0.000002662368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2522807,0.0005791154,0.7195097,0.0004716421,0.0003095025,0.0002000817,0.0004121588,0.001040052,0.02519704],"genre_scores_gemma":[0.9589514,0.0002194714,0.03232999,0.00005960843,0.00004390813,0.0001174362,0.0001737261,0.0001413329,0.007963302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01330429,"threshold_uncertainty_score":0.02645373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048824304559942,"score_gpt":0.2668107172370075,"score_spread":0.2463224741914081,"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."}}