{"id":"W3181048560","doi":"10.1063/5.0062573","title":"Selective decay for the rotating shallow-water equations with a structure-preserving discretization","year":2021,"lang":"en","type":"preprint","venue":"Physics of Fluids","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Agence Nationale de la Recherche; Natural Environment Research Council; Sight Research UK","keywords":"Enstrophy; Shallow water equations; Discretization; Integrator; Conservation law; Dissipation; Stability (learning theory); Applied mathematics; Variational integrator; Conserved quantity; Mathematics; Conservation of energy; Plane (geometry); Physics; Classical mechanics; Mathematical analysis; Computer science; Mechanics; Geometry","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":[0.0007900723,0.0005119714,0.0003905188,0.0004153237,0.000383273,0.0007808614,0.0009414281,0.0006285345,0.00131491],"category_scores_gemma":[0.00262979,0.0002155438,0.0006333883,0.0002610549,0.001152405,0.001128746,0.001539135,0.001312664,0.0002644892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008059457,"about_ca_system_score_gemma":0.0009398798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00488535,"about_ca_topic_score_gemma":0.003321321,"domain_scores_codex":[0.9997974,0.00006398659,0.00001255112,0.00002489067,0.00007725126,0.00002398891],"domain_scores_gemma":[0.9994784,0.0002039188,0.00008838004,0.00006296432,0.00009899002,0.00006728429],"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":[0.0001065715,0.00005939603,0.001783705,0.0001604401,0.00003771663,0.000184245,0.0002779913,0.2256402,0.0224562,0.7288802,0.001458362,0.01895501],"study_design_scores_gemma":[0.00001111482,0.00001459472,0.0001202647,0.000007323019,0.000003490089,0.0000198936,0.00001408326,0.9665775,0.0008883356,0.0314692,0.0008686967,0.000005598152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09848687,0.001126487,0.8890311,0.0008350948,0.0001203565,0.00005898267,0.0001390375,0.0001142901,0.01008782],"genre_scores_gemma":[0.834181,0.001236876,0.1488197,0.0003206511,0.0001192284,0.0002137991,0.0002468014,0.0001730558,0.01468896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00488535,"threshold_uncertainty_score":0.009713829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06938576720153927,"score_gpt":0.3537400786104582,"score_spread":0.2843543114089189,"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."}}