{"id":"W4413235639","doi":"10.1016/j.jcp.2025.114284","title":"A marching cubes based method for topology changes in three-dimensional two-phase flows with front tracking","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Deutsche Forschungsgemeinschaft","keywords":"Marching cubes; Topology (electrical circuits); Front (military); Tracking (education); Fast marching method; Phase (matter); Mathematics; Computer science; Geometry; Algorithm; Physics; Combinatorics; Data mining; Meteorology; Visualization","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002288688,0.0001070246,0.0002444494,0.0001579925,0.00004311014,0.00002083544,0.00007760544,0.00003010166,0.000006166691],"category_scores_gemma":[0.000008957792,0.00009334864,0.00007322574,0.0001065872,0.00001549416,0.00008430752,0.00000549316,0.0001914002,3.273812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006579209,"about_ca_system_score_gemma":0.0001174837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008597036,"about_ca_topic_score_gemma":0.0002604477,"domain_scores_codex":[0.9993511,0.00002443276,0.0002521846,0.00007922273,0.0001556925,0.0001373543],"domain_scores_gemma":[0.9992449,0.0004602608,0.00003127024,0.00004210727,0.0001888578,0.00003258306],"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":[0.0001646765,0.00009094925,0.0001327402,0.00006511227,0.00007584459,0.000008224802,0.00007314391,0.9731296,0.001218538,0.00836695,0.00007000103,0.01660419],"study_design_scores_gemma":[0.002908073,0.0001423184,0.00114984,0.0001471093,0.00003098695,0.000006811381,0.000008064068,0.9330553,0.0003575361,0.06203928,0.00006956328,0.00008508478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1719049,0.0001073075,0.8270898,0.0005279441,0.0001967138,0.0001029172,0.00001521882,0.00001092612,0.00004421382],"genre_scores_gemma":[0.7252477,0.000001383806,0.2743585,0.0001985893,0.0001591571,0.000006169623,0.00001200168,0.00001398214,0.000002575821],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5533428,"threshold_uncertainty_score":0.3806647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145994524764044,"score_gpt":0.3025930905097214,"score_spread":0.287993638033317,"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."}}