{"id":"W4281253817","doi":"10.1002/nme.7043","title":"Generalized coordinate smoothed particle hydrodynamics with an overset method in total Lagrangian formulation","year":2022,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council for Science, Technology and Innovation; Japan Science and Technology Corporation; Swine Innovation Porc","keywords":"Smoothed-particle hydrodynamics; Coordinate system; Lagrangian; Computation; Space (punctuation); Boundary (topology); Gravitational singularity; Boundary value problem; Particle (ecology); Mathematics; Mathematical analysis; Applied mathematics; Classical mechanics; Geometry; Physics; Mechanics; Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007424525,0.000159269,0.0002107057,0.0004059515,0.00008201846,0.00007805788,0.000223861,0.00004176226,0.00008468061],"category_scores_gemma":[0.0001013347,0.0001658515,0.00009117309,0.0003888505,0.000005812761,0.0004533822,0.00004056884,0.0004610258,5.815673e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006803716,"about_ca_system_score_gemma":0.00001905575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004394328,"about_ca_topic_score_gemma":0.00001725757,"domain_scores_codex":[0.998751,0.0001151636,0.0004465675,0.0001671939,0.0002451743,0.0002749365],"domain_scores_gemma":[0.9993751,0.0002929873,0.00006040149,0.0001117541,0.00007363961,0.00008611237],"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":[0.0001349912,0.00006523805,0.0005332887,0.000006051953,0.00005710145,0.00001704552,0.0002181801,0.9807212,0.005301064,0.004100401,0.000006903692,0.008838574],"study_design_scores_gemma":[0.001205942,0.0001443243,0.001985927,0.0000166994,0.00001036598,0.0001855065,0.00009962293,0.9937869,0.0002528299,0.000738734,0.001365289,0.0002078916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2220258,0.00002939776,0.7763864,0.00008671544,0.001185667,0.0001411875,0.00003054392,0.00006528659,0.00004905997],"genre_scores_gemma":[0.552452,0.000004945151,0.4472878,0.00001998866,0.00006978104,0.0000690806,0.00002772861,0.000039094,0.00002960014],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3304262,"threshold_uncertainty_score":0.6763228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156450477508662,"score_gpt":0.3457495984327934,"score_spread":0.3301045506819272,"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."}}