{"id":"W4247889080","doi":"10.32920/ryerson.14663856.v1","title":"Dynamic time-history response of concrete rectangular liquid storage tanks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Slosh dynamics; Parametric statistics; Finite element method; Storage tank; Acceleration; Structural engineering; Fluid–structure interaction; Geotechnical engineering; Seismic analysis; Geology; Seismic loading; Foundation (evidence); Baffle; Engineering; Physics; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001247662,0.0001907008,0.0001379555,0.0002166492,0.0001020275,0.0002074932,0.0002061023,0.0003416852,0.001485408],"category_scores_gemma":[0.0004091593,0.0001057352,0.000171656,0.0001496342,0.0002857609,0.0002944382,0.0002016351,0.0001226807,0.0001894931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255744,"about_ca_system_score_gemma":0.0002024695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00219365,"about_ca_topic_score_gemma":0.001817763,"domain_scores_codex":[0.9999394,0.000009399935,0.000003173134,0.00001150876,0.00002345124,0.00001292083],"domain_scores_gemma":[0.9998515,0.00006263213,0.00003135484,0.00001241363,0.00002885939,0.00001323006],"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":[0.0002702501,0.00005152159,0.006555317,0.00006365508,0.00002461844,0.0004230247,0.0002321318,0.7804289,0.1982849,0.0006955137,0.0001434414,0.01282674],"study_design_scores_gemma":[0.000005428778,0.0001183224,0.003970077,0.000005789529,0.000005944309,0.00005799639,0.000107196,0.976606,0.01867581,0.0001382124,0.0002986169,0.00001062267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760898,0.00006553143,0.02225493,0.00002721589,0.000005142922,0.000006639669,0.00005080061,0.00009963517,0.001400313],"genre_scores_gemma":[0.9981017,0.00002697333,0.001097043,0.000004535522,6.749455e-7,0.000003905944,0.00002962831,0.000007100785,0.0007285694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00219365,"threshold_uncertainty_score":0.00496918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007147351194142236,"score_gpt":0.2192312704309194,"score_spread":0.2120839192367772,"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."}}