{"id":"W2016660534","doi":"10.1002/fld.964","title":"A projection scheme for incompressible multiphase flow using adaptive Eulerian grid: 3D validation","year":2005,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Fluids","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Discretization; Eulerian path; Projection method; Grid; Compressibility; Projection (relational algebra); Mathematics; Incompressible flow; Mesh generation; Multiphase flow; Computational fluid dynamics; Applied mathematics; Finite element method; Geometry; Flow (mathematics); Computer science; Mathematical analysis; Mathematical optimization; Mechanics; Algorithm; Physics; Dykstra's projection algorithm","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":[0.0007672129,0.000190277,0.0002471104,0.0003454301,0.0001165599,0.0001204642,0.0002418516,0.0001257108,0.00005057536],"category_scores_gemma":[0.0001734064,0.0001882829,0.0001805995,0.000164696,0.00002475312,0.0004392213,0.00002112432,0.0002925205,0.000002323696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005314825,"about_ca_system_score_gemma":0.0000500799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001823987,"about_ca_topic_score_gemma":0.000005118191,"domain_scores_codex":[0.9986134,0.00008423588,0.000569387,0.0002027445,0.0002429782,0.0002872362],"domain_scores_gemma":[0.9992011,0.0002714382,0.00004157255,0.00008617835,0.0002994891,0.0001002678],"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":[0.0005004836,0.0001770568,0.0001637176,0.00003212433,0.0002109707,0.000004698989,0.0003202703,0.6199679,0.1501543,0.001145657,0.0004081279,0.2269147],"study_design_scores_gemma":[0.001710843,0.000111941,0.0000786875,0.00007861578,0.00002180297,0.00006198372,0.00002846419,0.9732466,0.01209764,0.001122947,0.01122893,0.0002115851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01020973,0.0001606337,0.9851251,0.0001962765,0.003572946,0.0004271739,0.00008599657,0.00006818087,0.0001539132],"genre_scores_gemma":[0.02237397,0.00005431508,0.975695,0.00007404907,0.001577733,0.0001019783,0.00003264788,0.00005539691,0.00003487258],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3532787,"threshold_uncertainty_score":0.7677952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06473786542488526,"score_gpt":0.4128807177397927,"score_spread":0.3481428523149074,"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."}}