{"id":"W2138327332","doi":"10.1002/cjce.21911","title":"Numerical approaches and analysis of spray characteristics for pressuriser nozzles","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Volume of fluid method; Breakup; Nozzle; Spray nozzle; Mechanics; Spray characteristics; Drop (telecommunication); Pressure drop; Materials science; Mass flow rate; Volumetric flow rate; Computer simulation; Simulation; Mechanical engineering; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004978196,0.0005375927,0.0004306682,0.0006269684,0.0003478631,0.00058517,0.0008428512,0.001157403,0.001150029],"category_scores_gemma":[0.001471611,0.0002592349,0.0005671387,0.000330938,0.0004074005,0.0004441502,0.0003630124,0.0004947718,0.0001622057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005933025,"about_ca_system_score_gemma":0.0006469387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003765353,"about_ca_topic_score_gemma":0.001457707,"domain_scores_codex":[0.9998189,0.00004282683,0.000009958176,0.00002290087,0.0000816746,0.00002382736],"domain_scores_gemma":[0.9995852,0.0001893698,0.00006769176,0.00002677592,0.0001128002,0.00001817413],"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":[0.00003857988,0.00004989985,0.001766233,0.000089268,0.00001182996,0.0001516062,0.00008219245,0.9554764,0.02198151,0.006987248,0.000186141,0.01317903],"study_design_scores_gemma":[0.000003405602,0.00001160416,0.0001119928,0.000002209088,7.686073e-7,0.00001211896,0.000004439786,0.9983717,0.00110713,0.0001907579,0.0001816245,0.000002318973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2044994,0.0006176119,0.783016,0.0001662598,0.00008430679,0.0001699222,0.0001278797,0.0005586516,0.0107599],"genre_scores_gemma":[0.9214347,0.0002722261,0.07542384,0.00002773395,0.00001659743,0.0001385252,0.00009332497,0.00006961935,0.002523438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003765353,"threshold_uncertainty_score":0.00748688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092143443409553,"score_gpt":0.1667038412601919,"score_spread":0.1557824068260963,"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."}}