{"id":"W2138963854","doi":"10.1002/fld.2119","title":"A two‐grid fictitious domain method for direct simulation of flows involving non‐interacting particles of a very small size","year":2009,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ellipsoid; Grid; Domain (mathematical analysis); Scale (ratio); Fictitious domain method; Immersed boundary method; Flow (mathematics); Computational fluid dynamics; Centroid; Computer science; Aspect ratio (aeronautics); Mechanics; Algorithm; Geometry; Boundary (topology); Computational science; Mathematical optimization; Mathematics; Physics; Mathematical analysis","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":[0.0006727431,0.0003714841,0.000623317,0.0003652528,0.0005291752,0.0005835546,0.001576478,0.00138584,0.002781938],"category_scores_gemma":[0.001867531,0.0003906854,0.0004535935,0.0003058463,0.0009215666,0.0005527889,0.001050314,0.0007286883,0.0004258062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000483369,"about_ca_system_score_gemma":0.00104125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005357784,"about_ca_topic_score_gemma":0.00311786,"domain_scores_codex":[0.999841,0.00005874241,0.000007386505,0.00001499153,0.00005933625,0.00001846654],"domain_scores_gemma":[0.9993433,0.0003994905,0.00004449606,0.00005697127,0.00009511403,0.00006051492],"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":[0.0001059571,0.0001010033,0.0009184192,0.00009880031,0.00002713572,0.0001964749,0.0001467131,0.9611702,0.005533225,0.01264949,0.0008629045,0.01818964],"study_design_scores_gemma":[0.00001498712,0.000007556992,0.00003229617,0.000001936789,8.373171e-7,0.000006694658,0.000003519832,0.9989926,0.0002680974,0.000354159,0.0003147226,0.000002453384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08223487,0.0001839554,0.910464,0.0002495012,0.0001168365,0.0001921036,0.0001122516,0.0005639158,0.005882659],"genre_scores_gemma":[0.4540456,0.0001342348,0.5407836,0.0001319487,0.00003008576,0.0006152171,0.0001887183,0.0001593573,0.003911403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005357784,"threshold_uncertainty_score":0.0106532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03125670541007144,"score_gpt":0.4039986907242178,"score_spread":0.3727419853141464,"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."}}