{"id":"W2971844868","doi":"10.2495/safe-v9-n3-261-268","title":"Study on coupling of smooth particle method with finite elements based on mesh–particle matching degree","year":2019,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science Challenge Project","keywords":"Matching (statistics); Particle (ecology); Degree (music); Coupling (piping); Finite element method; Computer science; Topology (electrical circuits); Structural engineering; Materials science; Mathematics; Physics; Engineering; Geology; Composite material; Statistics; Acoustics; Combinatorics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003011962,0.0001091902,0.0001710669,0.0001304546,0.00002355175,0.00003281155,0.0001179426,0.00002502093,0.00003435024],"category_scores_gemma":[0.00003259069,0.00009626777,0.00004916185,0.00009194848,0.000005953525,0.0002018127,0.00001531189,0.0002173626,0.000002754796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007106674,"about_ca_system_score_gemma":0.0000117392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007155668,"about_ca_topic_score_gemma":0.000005135143,"domain_scores_codex":[0.9990795,0.00000926865,0.0003988644,0.00008328336,0.0003202769,0.0001087689],"domain_scores_gemma":[0.999341,0.0002925397,0.00008909826,0.00009296972,0.0001315367,0.00005281698],"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":[0.0001867638,0.0001264458,0.005249388,0.00001450321,0.0001442021,0.0000114312,0.0005505647,0.9889349,0.002904315,0.00154519,0.00000115215,0.0003311076],"study_design_scores_gemma":[0.001219913,0.0003756553,0.01151038,0.0001938074,0.00002029364,0.000007966965,0.0002655746,0.9844598,0.001728891,0.00003254888,0.00009033771,0.00009489395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8888202,0.00001686595,0.1105185,0.00006100925,0.0003017673,0.00008991672,0.00001238997,0.00002009052,0.0001592732],"genre_scores_gemma":[0.9974443,0.00001296276,0.002452634,0.00002057841,0.00004237479,0.000001505032,0.000002159255,0.00001749233,0.000005993522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086241,"threshold_uncertainty_score":0.3925686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264028296539355,"score_gpt":0.2654997776730197,"score_spread":0.2528594947076261,"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."}}