{"id":"W4409594889","doi":"10.1016/j.cpc.2025.109637","title":"A multi-domain lattice Boltzmann method for mesh refinement with curved boundary interfaces","year":2025,"lang":"en","type":"article","venue":"Computer Physics Communications","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lattice Boltzmann methods; Domain (mathematical analysis); Boundary (topology); Lattice (music); Computer science; Statistical physics; Physics; Geometry; Computational science; Mathematics; Mechanics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008780483,0.0005064177,0.0009034516,0.0006800746,0.0008405108,0.0009876145,0.002881689,0.001829654,0.005358577],"category_scores_gemma":[0.002909023,0.0005176041,0.0008117487,0.0007263989,0.0006270452,0.00106753,0.00180543,0.001764034,0.001944259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005921422,"about_ca_system_score_gemma":0.001353293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004584746,"about_ca_topic_score_gemma":0.005588494,"domain_scores_codex":[0.9994641,0.0001513196,0.00003269519,0.00004784855,0.000265439,0.00003861436],"domain_scores_gemma":[0.9992674,0.0002272092,0.00003208093,0.0001303361,0.0002644974,0.0000785551],"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":[0.0002835922,0.000310189,0.001234053,0.000380782,0.0001055863,0.0002631902,0.000228007,0.6555133,0.03732441,0.1143706,0.005902112,0.1840842],"study_design_scores_gemma":[0.00002217588,0.00001507442,0.00004535651,0.00001065503,0.000004557381,0.00001943682,0.000007525747,0.9926191,0.001219883,0.003550484,0.00247676,0.000009024852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003964633,0.0001008463,0.9932938,0.00009552483,0.000122443,0.00007048088,0.00005804327,0.0003216243,0.001972722],"genre_scores_gemma":[0.06108066,0.0001071916,0.9343896,0.0001407961,0.00003837122,0.0002508483,0.0001669887,0.0003561393,0.003469318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005358577,"threshold_uncertainty_score":0.01792622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04747801159873771,"score_gpt":0.3340890257274221,"score_spread":0.2866110141286844,"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."}}