{"id":"W4308036919","doi":"10.1016/j.ijmultiphaseflow.2022.104313","title":"Simulation of interfacial deformations for 2D axisymmetric multi-material flows","year":2022,"lang":"en","type":"article","venue":"International Journal of Multiphase Flow","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Volume of fluid method; Silicone oil; Materials science; Rotational symmetry; Mechanics; Triple point; Drop (telecommunication); Computer simulation; Deformation (meteorology); Computer science; Flow (mathematics); Composite material; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002926443,0.000736565,0.0006671062,0.0005766318,0.0006085748,0.000880181,0.0009133327,0.001544531,0.004161448],"category_scores_gemma":[0.001177785,0.0004910951,0.0005583903,0.0005269354,0.0006844403,0.0006213374,0.0007807342,0.0006722436,0.000207622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006933096,"about_ca_system_score_gemma":0.0007046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005796351,"about_ca_topic_score_gemma":0.003893038,"domain_scores_codex":[0.9998426,0.00003942571,0.000008036599,0.00002542752,0.00003984182,0.00004470664],"domain_scores_gemma":[0.9992889,0.0004439189,0.00006424227,0.00005797145,0.00007260087,0.00007243357],"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":[0.0001558492,0.00012526,0.001449456,0.0000429462,0.00001988614,0.0001479158,0.00006141418,0.9902665,0.003711157,0.001087923,0.0002338215,0.002697932],"study_design_scores_gemma":[0.00001443247,0.00002189908,0.0002374332,0.000002068209,0.000001852141,0.000007932923,0.00001120088,0.999059,0.0004699148,0.00009668888,0.00007417114,0.000003400684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650257,0.0001538786,0.02245124,0.0002313245,0.00008160111,0.00006890993,0.0004510212,0.0004623243,0.01107414],"genre_scores_gemma":[0.9922333,0.00003847931,0.006591327,0.00002789433,0.000007469449,0.00003830266,0.0001373087,0.00004819276,0.0008777236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005796351,"threshold_uncertainty_score":0.01392144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948254605385796,"score_gpt":0.2752153276117162,"score_spread":0.2557327815578583,"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."}}