{"id":"W2150927990","doi":"10.1175/mwr-d-14-00353.1","title":"Implementation of Deterministic Weather Forecasting Systems Based on Ensemble–Variational Data Assimilation at Environment Canada. Part II: The Regional System","year":2015,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Data assimilation; Numerical weather prediction; Meteorology; Computer science; Environmental science; Weather Research and Forecasting Model; Assimilation (phonology); Ensemble forecasting; Variational analysis; Mathematics; Mathematical optimization; Geography","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":[0.0005818817,0.0003022568,0.0002873829,0.0002537276,0.0006983338,0.0007793271,0.00105387,0.0002254288,0.001346627],"category_scores_gemma":[0.0009961056,0.000249575,0.000372764,0.0005054474,0.0002177569,0.0003562078,0.0004812628,0.0005478742,0.0002843693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004969417,"about_ca_system_score_gemma":0.01374897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9330881,"about_ca_topic_score_gemma":0.9133309,"domain_scores_codex":[0.9996819,0.0000473051,0.00001244182,0.00005054915,0.0001443307,0.00006355976],"domain_scores_gemma":[0.9995264,0.00002816584,0.00001956148,0.00004949986,0.0003378243,0.00003866068],"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":[0.0001208491,0.00008343883,0.01813452,0.00005619642,0.0001617021,0.00007081301,0.0001256051,0.8611178,0.007228181,0.005387393,0.007997029,0.09951641],"study_design_scores_gemma":[0.00003712506,0.00002740936,0.009855226,0.000008390884,0.00002535203,0.000009495142,0.00004777443,0.9779997,0.002498679,0.0004707812,0.008990271,0.00002971864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6622637,0.001122679,0.2587112,0.001684376,0.0003881335,0.0004398953,0.009455309,0.0077901,0.05814456],"genre_scores_gemma":[0.9132634,0.0003163856,0.07798458,0.00005624177,0.00001639819,0.00007797599,0.003054315,0.0001469137,0.005083764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9330881,"threshold_uncertainty_score":0.1346118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147399136220582,"score_gpt":0.2677907006547441,"score_spread":0.1203915644341621,"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."}}