{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063578,0.00009490726,0.0002776669,0.0001536882,0.00001827906,0.00003212687,0.0001318896,0.00006503519,0.00002265782],"category_scores_gemma":[0.00003682375,0.00007248628,0.0001093658,0.0001571996,0.0000349872,0.00005914834,0.000003120094,0.0001658069,3.374601e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003823097,"about_ca_system_score_gemma":0.0000325416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001859744,"about_ca_topic_score_gemma":0.00003768978,"domain_scores_codex":[0.9994341,0.000003422578,0.0002649556,0.00004846008,0.00007075419,0.0001783002],"domain_scores_gemma":[0.999523,0.00008978684,0.00002190396,0.00008498435,0.00005873399,0.000221536],"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":[0.00002515465,0.00003014412,0.006821296,0.0009328634,0.005122308,0.00001240098,0.002254157,0.6973615,0.2713475,0.005694484,0.0007982603,0.009600007],"study_design_scores_gemma":[0.0001545859,0.00001608507,0.007903755,0.00003361088,0.0004349803,0.00001169727,0.000008526536,0.9768016,0.01407651,0.00004776138,0.0003748172,0.0001361007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819953,0.0005178013,0.01706303,0.000165085,0.00008262402,0.00009031864,0.00003159868,0.000008771095,0.00004546021],"genre_scores_gemma":[0.9986798,0.000006777399,0.001209491,0.00001006784,0.00006152457,0.000005428643,0.000004600711,0.00001883282,0.000003509674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2794401,"threshold_uncertainty_score":0.2955905,"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."}}