{"id":"W4414208442","doi":"10.3390/w17182703","title":"Numerical Simulation of Sloshing Tanks with Shallow Water Model Using Low Numerical Diffusion Schemes and Its Application to Tuned Liquid Dampers","year":2025,"lang":"en","type":"article","venue":"Water","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; National Research Council Canada; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slosh dynamics; Numerical diffusion; Computer simulation; Damper; Numerical analysis; Diffusion; Finite difference method; Resonance (particle physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002771967,0.0004670624,0.0004127574,0.0003262105,0.0003911669,0.000512392,0.0005679132,0.001005069,0.0009337474],"category_scores_gemma":[0.0008479704,0.000237409,0.0004374714,0.0002865999,0.0007291728,0.0004544974,0.0007074488,0.0004994891,0.00009969845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005356406,"about_ca_system_score_gemma":0.0007322898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064676,"about_ca_topic_score_gemma":0.004701606,"domain_scores_codex":[0.9998926,0.00002903419,0.00000778398,0.00001857061,0.00002893531,0.00002310659],"domain_scores_gemma":[0.9997084,0.0001423172,0.00005241432,0.00002486155,0.00004449359,0.0000275653],"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":[0.00005087482,0.00003408799,0.001287401,0.00004743371,0.000009454002,0.0001205749,0.0001058954,0.9797668,0.01283411,0.002771516,0.0001023552,0.002869469],"study_design_scores_gemma":[0.000003991188,0.00001269663,0.00007228759,0.000002057841,0.00000114896,0.000004963463,0.00001063314,0.9989379,0.0007256765,0.0001306533,0.00009541744,0.000002542684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7590013,0.000335583,0.2310587,0.0004109685,0.00006004336,0.0001128002,0.0001680797,0.0003937641,0.008458655],"genre_scores_gemma":[0.9708694,0.0001223973,0.02678764,0.00002745229,0.000006523751,0.0000670382,0.00005638177,0.00002318732,0.002040007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01064676,"threshold_uncertainty_score":0.0211696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007578305607135511,"score_gpt":0.2430348138885232,"score_spread":0.2354565082813877,"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."}}