{"id":"W2899078789","doi":"10.1007/978-981-13-3256-2_7","title":"Modeling of Cavitation in Fuel Injectors with Single- and Two-Fluid Approaches","year":2018,"lang":"en","type":"book-chapter","venue":"Energy, environment, and sustainability","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Argonne National Laboratory; University of Chicago","keywords":"Cavitation; Injector; Multiphase flow; Computational fluid dynamics; Fuel injection; Pressure drop; Mechanics; Modeling and simulation; Drop (telecommunication); Fluid dynamics; Bubble; Mechanical engineering; Materials science; Computer science; Engineering; Simulation; Physics","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":[0.000388682,0.0009420651,0.001282628,0.0004811491,0.0006720898,0.001501569,0.002218537,0.002278592,0.00308831],"category_scores_gemma":[0.001095964,0.0006691202,0.001427238,0.0004796032,0.001068077,0.001503052,0.00115848,0.001409521,0.000505806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001422745,"about_ca_system_score_gemma":0.00140865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272417,"about_ca_topic_score_gemma":0.007577786,"domain_scores_codex":[0.9997657,0.00005245833,0.000009114056,0.00004307358,0.00008938555,0.00004038108],"domain_scores_gemma":[0.999708,0.0001739495,0.00002455498,0.00001643721,0.00005422529,0.00002286324],"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":[0.00003019281,0.00003511538,0.0002304609,0.0000848675,0.00001949755,0.00006106005,0.00005277841,0.9738686,0.002645395,0.01594866,0.0005879802,0.006435472],"study_design_scores_gemma":[0.000003376814,0.000005131056,0.00004215573,0.000004643607,0.000002661769,0.000008319357,0.000005295862,0.9970458,0.0004474822,0.001741732,0.0006884341,0.000004937223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0725521,0.004702691,0.8486673,0.0009312029,0.0004117656,0.0001421716,0.000324888,0.0008108757,0.07145701],"genre_scores_gemma":[0.8947114,0.002773971,0.05654399,0.0001749976,0.000219302,0.0002687693,0.0002716327,0.0003537801,0.04468212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01272417,"threshold_uncertainty_score":0.0253002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287127876249044,"score_gpt":0.1758243695577778,"score_spread":0.1629530907952874,"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."}}