{"id":"W4401505848","doi":"10.1016/j.compgeo.2024.106655","title":"Algorithm for the treatment of boundary conditions in NMM-SPH coupling models: Interface element-wise boundary particle scheme","year":2024,"lang":"en","type":"article","venue":"Computers and Geotechnics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interface (matter); Coupling (piping); Scheme (mathematics); Boundary (topology); Particle (ecology); Boundary element method; Finite element method; Mechanics; Smoothed-particle hydrodynamics; Boundary knot method; Boundary value problem; Element (criminal law); Materials science; Physics; Computer science; Mathematical analysis; Mathematics; Geology; Composite material; Thermodynamics","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":[0.00006299257,0.0001038319,0.0001145676,0.00006920472,0.0001105101,0.0001193003,0.0000628693,0.00004110937,0.000007337537],"category_scores_gemma":[0.000001556879,0.00008621144,0.00006118972,0.0001411453,0.00005364807,0.0001863511,0.00002026775,0.00008036125,0.000001407121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008765,"about_ca_system_score_gemma":0.00002147032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002042944,"about_ca_topic_score_gemma":0.00002151557,"domain_scores_codex":[0.9994609,0.000003107632,0.0002154557,0.0001278459,0.00005012211,0.0001426068],"domain_scores_gemma":[0.9996259,0.0001597687,0.00001327266,0.0001462362,0.00002716338,0.00002763831],"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":[0.000002448029,0.00005225699,0.000005637703,0.00003509862,0.00006378429,0.00000140856,0.0003014686,0.94064,0.0002883536,0.002067961,0.000312032,0.05622957],"study_design_scores_gemma":[0.0002436293,0.0001082445,0.0000249586,0.00007687128,0.00002384315,0.00000372617,0.0001086441,0.9749893,0.0002126095,0.00193299,0.02218861,0.00008657882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09820713,0.0083563,0.8923265,0.000142895,0.0004202498,0.0003029642,0.00009785852,0.000127306,0.0000187917],"genre_scores_gemma":[0.9801627,0.002059913,0.01751023,0.00001547977,0.00004669277,0.00009253855,0.00003620324,0.00002431372,0.00005189102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8819556,"threshold_uncertainty_score":0.3515601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604328501199563,"score_gpt":0.2660963202644381,"score_spread":0.2500530352524425,"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."}}