{"id":"W2152731714","doi":"10.1016/j.jbiomech.2007.07.020","title":"Red blood cell aggregation and dissociation in shear flows simulated by lattice Boltzmann method","year":2007,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Blood properties and coagulation","field":"Medicine","cited_by":249,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Johns Hopkins University","keywords":"Lattice Boltzmann methods; Immersed boundary method; Shear flow; Viscoelasticity; Mechanics; Shear (geology); Morse potential; Fluid–structure interaction; Erythrocyte aggregation; Membrane; Lattice (music); Materials science; Physics; Classical mechanics; Chemistry; Boundary (topology); Thermodynamics; Composite material; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001288159,0.00008800271,0.0002304503,0.0002019283,0.00003686443,0.0000182174,0.00003763683,0.0001511867,0.00001217888],"category_scores_gemma":[0.00009611821,0.00007291661,0.00005228322,0.0003084499,0.000005105493,0.000145933,0.00001413386,0.0002010818,0.000001084558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006218753,"about_ca_system_score_gemma":0.00003311127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002257394,"about_ca_topic_score_gemma":0.000005447277,"domain_scores_codex":[0.9989418,0.00005631988,0.0004845984,0.00009905919,0.000268796,0.0001494717],"domain_scores_gemma":[0.9992445,0.00007006022,0.0003358936,0.00007667053,0.0001788563,0.00009406956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007411583,0.0004924446,0.001090648,0.00009669505,0.0001074425,0.00005993016,0.0007295485,0.00004438229,0.7943673,0.00004288498,0.0002137108,0.2020138],"study_design_scores_gemma":[0.007090235,0.001874487,0.001754682,0.0003506864,0.0007034769,0.0002424982,0.0006691805,0.219379,0.760314,0.002565305,0.004799545,0.0002569497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831266,0.002207136,0.01337661,0.0008201831,0.0001535304,0.0001635402,0.000002355054,0.0000107668,0.0001392109],"genre_scores_gemma":[0.9879798,0.0002260378,0.01139415,0.0001616909,0.0001073623,2.501014e-7,0.000009301673,0.00001463048,0.0001067879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2193346,"threshold_uncertainty_score":0.2973453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127795121554752,"score_gpt":0.2710433831020052,"score_spread":0.2597654318864576,"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."}}