{"id":"W2464757693","doi":"10.1115/1.4034096","title":"Turbulence Modeling of Cavitating Flows in Liquid Rocket Turbopumps","year":2016,"lang":"en","type":"article","venue":"Journal of Fluids Engineering","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Turbulence; Reynolds-averaged Navier–Stokes equations; Mechanics; Cavitation; Turbulence modeling; K-epsilon turbulence model; K-omega turbulence model; Rocket engine; Physics; Aerospace engineering; 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":[0.0002762356,0.00048586,0.0004919645,0.0003936876,0.0003282718,0.0007896542,0.0005657454,0.0006118416,0.0003189876],"category_scores_gemma":[0.0007512885,0.0002019701,0.000494463,0.0003075653,0.0007029022,0.0005003738,0.0004011883,0.0004329215,0.0001056058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006999826,"about_ca_system_score_gemma":0.0006647871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00770931,"about_ca_topic_score_gemma":0.002442751,"domain_scores_codex":[0.9998591,0.00004156878,0.000010372,0.000021891,0.00003669411,0.00003030197],"domain_scores_gemma":[0.9997776,0.00008839714,0.00005753829,0.00001447382,0.00004447822,0.00001749],"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":[0.00005287403,0.0000312847,0.001866266,0.00002385955,0.000009617596,0.0001191169,0.00004571073,0.9771817,0.01529211,0.002706686,0.0001081711,0.002562613],"study_design_scores_gemma":[0.000002494049,0.00001190873,0.0003400901,0.000001636252,0.000001106632,0.000007749651,0.000005528826,0.9983501,0.001005026,0.000218467,0.00005199122,0.00000381343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7744775,0.000501278,0.2201253,0.0001778639,0.00004738459,0.00007703286,0.0001286394,0.0003267099,0.004138361],"genre_scores_gemma":[0.9943138,0.0001741867,0.004594556,0.000009849189,0.00001332636,0.00002681069,0.00006218251,0.00001846524,0.0007868264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00770931,"threshold_uncertainty_score":0.01532888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583616421122321,"score_gpt":0.2373938256477039,"score_spread":0.2215576614364807,"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."}}