{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001521556,0.0003001399,0.0003521413,0.0001322536,0.00003160281,0.00001599038,0.00005539501,0.0002019359,0.00002825556],"category_scores_gemma":[0.00000425555,0.0002870144,0.00004012429,0.00001983821,0.0002623852,0.00008576825,0.00002727389,0.0001537985,1.918248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002238778,"about_ca_system_score_gemma":0.00002247477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002941211,"about_ca_topic_score_gemma":0.0008162307,"domain_scores_codex":[0.998954,0.000016486,0.0003060024,0.0003731678,0.000139549,0.0002108118],"domain_scores_gemma":[0.9996043,0.00002856746,0.00002082797,0.0002545915,0.00001889202,0.00007282706],"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":[0.0001343073,0.00009072185,0.005845353,0.002123951,0.000137943,0.00001358675,0.002541642,0.927745,0.0001245435,0.05366505,0.000004572149,0.007573275],"study_design_scores_gemma":[0.001040377,0.0003856636,0.002671565,0.0001235856,0.00010607,0.000005258307,0.0007170748,0.9370598,0.00004424388,0.05601426,0.001029501,0.0008026391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295599,0.00452857,0.03440342,0.00003035266,0.00005262639,0.0004911418,0.00004993661,0.00005932077,0.03082467],"genre_scores_gemma":[0.9969218,0.001114936,0.0002971748,0.000004949301,0.00003271317,0.00001197774,0.00004157446,0.0000508159,0.001524068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06736182,"threshold_uncertainty_score":0.9999582,"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."}}