{"id":"W2945926871","doi":"10.1175/mwr-d-18-0438.1","title":"A New Dynamical Core of the Global Environmental Multiscale (GEM) Model with a Height-Based Terrain-Following Vertical Coordinate","year":2019,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Primitive equations; Terrain; Discretization; Solver; Dynamical systems theory; Coordinate system; Core model; Hydrostatic equilibrium; Boundary value problem; Meteorology; Geology; Applied mathematics; Physics; Computer science; Geometry; Mathematical analysis; Mathematics; Partial differential equation; Mathematical optimization","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002504839,0.0004614308,0.0005294606,0.0002855748,0.0003731073,0.0008716207,0.001223975,0.0007961535,0.001580063],"category_scores_gemma":[0.0006590695,0.0002536739,0.0007170475,0.0003128582,0.0005315821,0.00093869,0.001238125,0.0009005012,0.0001835272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006157371,"about_ca_system_score_gemma":0.001176416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03059327,"about_ca_topic_score_gemma":0.01857203,"domain_scores_codex":[0.9998726,0.00002684379,0.00000565424,0.00002590076,0.00004880904,0.00002031038],"domain_scores_gemma":[0.9998578,0.00002832184,0.00001898936,0.00001819366,0.00004569081,0.0000310423],"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":[0.00001709674,0.00002012311,0.001202254,0.0000154483,0.00001491143,0.00005672383,0.00001838756,0.9863036,0.001819877,0.007754568,0.0004977973,0.002279157],"study_design_scores_gemma":[0.000006939666,0.000005669968,0.0002043789,0.000001553251,0.000002263908,0.000003557574,0.000003137423,0.9989067,0.00009002904,0.0003509872,0.0004217372,0.000002917522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4124451,0.0004514247,0.5489481,0.0009213358,0.0003261841,0.0002123606,0.001745636,0.0009273995,0.03402254],"genre_scores_gemma":[0.9498398,0.0001685257,0.04538925,0.0001081706,0.00007139321,0.0001331612,0.000786466,0.0001262666,0.003376845],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03059327,"threshold_uncertainty_score":0.06083041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494016517127709,"score_gpt":0.2197547311405983,"score_spread":0.2048145659693213,"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."}}