{"id":"W3104160688","doi":"10.3390/app10228121","title":"Seismic Analysis of a Large LNG Tank Considering Different Site Conditions","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Slosh dynamics; Finite element method; Liquefied natural gas; Storage tank; Structural engineering; Engineering; Resilience (materials science); Marine engineering; von Mises yield criterion; Rollover (web design); Surge tank; Geotechnical engineering; Environmental science; Petroleum engineering; Natural gas; Materials science; Mechanical engineering; Computer science; Waste management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004595156,0.00007194351,0.0001558601,0.0001792975,0.0001330947,0.0000328945,0.00009037805,0.00002061928,0.0002388773],"category_scores_gemma":[0.000009752781,0.00006600972,0.00006633472,0.0009776851,0.00007142814,0.00008430066,0.00002443885,0.00006237657,0.00001876965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001499501,"about_ca_system_score_gemma":0.00000847438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007631736,"about_ca_topic_score_gemma":0.00005651915,"domain_scores_codex":[0.9994421,0.000004815606,0.0001749703,0.0001298717,0.0001154132,0.000132812],"domain_scores_gemma":[0.9997374,0.00008558782,0.00002692518,0.0000812144,0.00001669758,0.00005212334],"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":[5.40024e-7,0.000009662909,0.001676182,0.000006422731,0.0001023452,1.943029e-7,0.0004306552,0.9499766,0.02851589,0.01912741,0.0001281911,0.00002586122],"study_design_scores_gemma":[0.00006829479,0.000008832245,0.006222651,0.000003065809,0.0001048549,2.080156e-7,0.0002610018,0.9913899,0.001331465,0.0001723562,0.0003630084,0.00007430916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393151,0.00002488638,0.05264467,0.0001542113,0.00005602342,0.00006618104,0.00009396957,0.00009635775,0.007548586],"genre_scores_gemma":[0.999377,0.000007307257,0.000435954,0.0001186756,0.00001328387,0.000009583245,0.00002519513,0.0000048442,0.000008123375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06006192,"threshold_uncertainty_score":0.2691798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651640786528311,"score_gpt":0.2539429834842709,"score_spread":0.2374265756189878,"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."}}