{"id":"W3211616486","doi":"10.1063/5.0062573","title":"Selective decay for the rotating shallow-water equations with a structure-preserving discretization","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Agence Nationale de la Recherche","keywords":"Enstrophy; Physics; Inviscid flow; Discretization; Dissipation; Shallow water equations; Nonlinear system; Classical mechanics; Conservation law; Integrator; Applied mathematics; Mathematical analysis; Mechanics; Mathematics; Quantum mechanics; Vorticity","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":[0.001456227,0.001013753,0.00107731,0.00101537,0.000810182,0.001587265,0.001757977,0.001463547,0.004054935],"category_scores_gemma":[0.008032721,0.0004982767,0.001323276,0.0005468391,0.002017751,0.002850765,0.003008695,0.00254128,0.0005394246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165717,"about_ca_system_score_gemma":0.001327355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004933859,"about_ca_topic_score_gemma":0.002807915,"domain_scores_codex":[0.9996229,0.0001491045,0.00002369623,0.00004640279,0.00009475237,0.00006302775],"domain_scores_gemma":[0.9977031,0.0008903886,0.0003206695,0.0002307884,0.0004919176,0.0003631808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001955605,0.00007839705,0.00102476,0.0002404018,0.0000627086,0.000220983,0.0002116365,0.07718387,0.00667096,0.8995985,0.004190525,0.01032164],"study_design_scores_gemma":[0.00003953256,0.00003501789,0.0002716586,0.00002017555,0.00001405287,0.00005900837,0.00004341545,0.8504276,0.0007377298,0.1470624,0.0012702,0.00001918297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2047438,0.002135109,0.7460926,0.003855699,0.0007813633,0.0001457217,0.0003289923,0.0004021367,0.04151467],"genre_scores_gemma":[0.8635144,0.002169873,0.08390636,0.0009571618,0.000615251,0.0002423565,0.0005865175,0.0005328642,0.04747521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004933859,"threshold_uncertainty_score":0.01356512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1181653032407822,"score_gpt":0.2546862205421315,"score_spread":0.1365209173013492,"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."}}