{"id":"W1977704174","doi":"10.1016/j.nucengdes.2008.01.004","title":"The inhomogeneous MUSIG model for the simulation of polydispersed flows","year":2008,"lang":"en","type":"article","venue":"Nuclear Engineering and Design","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":269,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ansys (Canada)","funders":"Bundesministerium für Wirtschaft und Technologie","keywords":"Bubble; Mechanics; Coalescence (physics); Flow (mathematics); Momentum (technical analysis); Lift (data mining); Physics; Computational fluid dynamics; Two-phase flow; Momentum transfer; Materials science; Simulation; Engineering; Computer science","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":[0.0006343588,0.0007844379,0.001314635,0.0006470652,0.0009334575,0.001114565,0.002692692,0.002383282,0.001998487],"category_scores_gemma":[0.001919946,0.0005356884,0.0008343183,0.0009421526,0.001089546,0.001490011,0.001234549,0.00138315,0.0004125723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010006,"about_ca_system_score_gemma":0.0009947954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009487747,"about_ca_topic_score_gemma":0.0054121,"domain_scores_codex":[0.9997244,0.0001089295,0.00001483545,0.0000338306,0.00006944801,0.00004854781],"domain_scores_gemma":[0.9995238,0.0002021249,0.00005823345,0.00006682958,0.00006854278,0.00008051789],"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":[0.00008556324,0.00004472916,0.0003832722,0.00002199465,0.0000282589,0.00007329159,0.0000392931,0.9471721,0.002777462,0.04665591,0.0003815774,0.002336657],"study_design_scores_gemma":[0.00001115546,0.000005790269,0.00003823532,0.000001239314,0.000002810229,0.00000313545,0.000002622446,0.9963325,0.0001861422,0.003089895,0.0003230679,0.000003337211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2344154,0.001608647,0.7422537,0.0009741895,0.0003313927,0.0001675204,0.0003828414,0.0007915801,0.01907471],"genre_scores_gemma":[0.9082668,0.0008038264,0.07703746,0.000269801,0.0001378295,0.000339529,0.0003612806,0.0003628749,0.01242067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009487747,"threshold_uncertainty_score":0.01886505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914069995381017,"score_gpt":0.1871874900459437,"score_spread":0.1680467900921335,"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."}}