{"id":"W2669925718","doi":"10.1007/s11663-017-1006-9","title":"Effect of Interphase Forces on Gas–Liquid Multiphase Flow in RH Degasser","year":2017,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council","keywords":"Mechanics; Turbulence; Lift (data mining); Interphase; Thermodynamics; Volumetric flow rate; Volume fraction; Flow (mathematics); Chemistry; Dispersion (optics); Wet gas; Materials science; Physics; Optics","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":[0.0006348027,0.0003653841,0.0003223704,0.0001617323,0.0003682737,0.0005701825,0.0003793178,0.000311082,0.00243716],"category_scores_gemma":[0.0008228509,0.0002212752,0.0001539365,0.000201529,0.0005455101,0.0006794624,0.0002679121,0.0008604758,0.0003893738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00037193,"about_ca_system_score_gemma":0.000424376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666379,"about_ca_topic_score_gemma":0.001873212,"domain_scores_codex":[0.9995642,0.00008118946,0.00001969216,0.00009583661,0.00008824302,0.0001507194],"domain_scores_gemma":[0.9992926,0.0004562422,0.0000916378,0.0000394162,0.00004698908,0.00007311732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001201016,0.00008613754,0.0005192616,0.00006489737,0.00001225611,0.00008115591,0.0001437387,0.0004818186,0.9928527,0.0002645671,0.00008683349,0.004205594],"study_design_scores_gemma":[0.000008524906,0.0001425254,0.0009849609,0.000002695765,0.000006157,0.00001421599,0.0000335403,0.001882763,0.9965615,0.00001676889,0.0003414264,0.000004898351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974232,0.0003440259,0.001179297,0.00006617849,0.00002052857,0.000006811308,0.00004923547,0.00004037446,0.0008703214],"genre_scores_gemma":[0.9983385,0.0002191581,0.0007734167,0.00003329357,0.00001577027,0.00000536976,0.00004123466,0.00002297656,0.0005502981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00243716,"threshold_uncertainty_score":0.008153141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00553860336717084,"score_gpt":0.2364849790967652,"score_spread":0.2309463757295944,"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."}}