{"id":"W4206259034","doi":"10.1175/mwr-d-21-0054.1","title":"Instabilities in the Shallow-Water System with a Semi-Lagrangian, Time-Centered Discretization","year":2022,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Advection; Discretization; Shallow water equations; Flow (mathematics); Instability; Dissipation; Waves and shallow water; Noise (video); Meteorology; Constant (computer programming); Numerical weather prediction; Work (physics); Applied mathematics; Mathematics; Mechanics; Geology; Computer science; Physics; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007742883,0.0001112594,0.0002194911,0.00003300899,0.0002169447,0.00003294236,0.0002549147,0.00001567665,0.006314145],"category_scores_gemma":[0.00001190541,0.00004991982,0.00005546623,0.0002459496,0.00003393671,0.0000902469,0.00001609325,0.0001205526,0.0001315345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001284587,"about_ca_system_score_gemma":0.00001093165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002640287,"about_ca_topic_score_gemma":0.0007134106,"domain_scores_codex":[0.9984891,0.0005969372,0.0002438344,0.0001920754,0.000277777,0.0002002053],"domain_scores_gemma":[0.999581,0.00009322999,0.00004710741,0.0002304643,0.00001399851,0.00003423774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003898938,0.0004327186,0.7355179,0.004429222,0.0001439048,0.0001839601,0.01555611,0.2110421,0.00003950739,0.002567344,0.0021228,0.0275746],"study_design_scores_gemma":[0.001788399,0.001541749,0.2651204,0.001873238,0.0002488639,0.00005490709,0.004907073,0.09266346,0.000002356222,0.0008694476,0.6299067,0.001023435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7881665,0.09068878,0.00007561676,0.004489705,0.0001345986,0.003406435,0.0003286121,0.0001285425,0.1125812],"genre_scores_gemma":[0.9977211,0.0002354516,0.00002712713,0.001191456,0.00001786504,0.00005481577,0.0002960201,0.000003729559,0.0004524383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6277839,"threshold_uncertainty_score":0.9945942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921626525295861,"score_gpt":0.2040290846680632,"score_spread":0.1848128194151046,"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."}}