{"id":"W4406103398","doi":"10.1063/5.0241118","title":"A multi-domain lattice Boltzmann mesh refinement method for non-Newtonian blood flow modeling","year":2025,"lang":"en","type":"article","venue":"Physics of Fluids","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Lattice Boltzmann methods; Newtonian fluid; Non-Newtonian fluid; Mechanics; Statistical physics; Domain (mathematical analysis); Classical 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":[0.0007740108,0.0005098221,0.0007931296,0.000455741,0.0005116559,0.0006106674,0.001653455,0.001099615,0.002459942],"category_scores_gemma":[0.001513304,0.000433079,0.001033278,0.0005638022,0.0004500665,0.0007100614,0.0009733086,0.001419851,0.000950614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000517379,"about_ca_system_score_gemma":0.001384112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004724363,"about_ca_topic_score_gemma":0.003590394,"domain_scores_codex":[0.999539,0.000128653,0.00003057368,0.0000512149,0.000219334,0.00003119367],"domain_scores_gemma":[0.9995955,0.0001352494,0.00003729064,0.00005457797,0.0001483023,0.00002906681],"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":[0.00007079913,0.00006983043,0.00121527,0.0002417939,0.00007139982,0.0001694227,0.0001709496,0.8408023,0.01858456,0.0308219,0.002944956,0.1048369],"study_design_scores_gemma":[0.000009240235,0.000008810654,0.00005702679,0.000009099685,0.000003681788,0.00002435546,0.000004519331,0.9943944,0.001100624,0.00145167,0.00292932,0.000007203862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002025956,0.0001563604,0.9963365,0.00006914471,0.00005292461,0.00003856948,0.00004528885,0.0002689867,0.00100638],"genre_scores_gemma":[0.1017181,0.0004023539,0.8934045,0.0001244687,0.00004232242,0.000402523,0.0002531588,0.0002074234,0.00344507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004724363,"threshold_uncertainty_score":0.009393692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269103299275246,"score_gpt":0.3057708863970203,"score_spread":0.2788605564694956,"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."}}