{"id":"W4248310817","doi":"10.1175/mwr-d-14-00354.1","title":"Implementation of Deterministic Weather Forecasting Systems Based on Ensemble–Variational Data Assimilation at Environment Canada. Part I: The Global System","year":2015,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":198,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Data assimilation; Initialization; Radiance; Numerical weather prediction; Radiosonde; Computer science; Meteorology; Global Forecast System; Weather forecasting; Environmental science; Remote sensing; Geology","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":[0.0007653773,0.0004086229,0.0003174967,0.0003715408,0.0007984068,0.0008372428,0.001141093,0.0002581161,0.001641523],"category_scores_gemma":[0.00121227,0.0003064987,0.0004553673,0.0007112673,0.0003002947,0.0005154317,0.000579862,0.0006078806,0.0003091481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005554593,"about_ca_system_score_gemma":0.01460302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.92851,"about_ca_topic_score_gemma":0.9146928,"domain_scores_codex":[0.999662,0.00004717531,0.0000140422,0.00005834491,0.000153846,0.00006450438],"domain_scores_gemma":[0.9994135,0.00004171494,0.00002237536,0.00005418549,0.0004186992,0.00004955558],"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":[0.0001494641,0.00009894208,0.02542512,0.00008102448,0.0002092168,0.00008283129,0.0001577963,0.8530465,0.005439703,0.005618298,0.01090586,0.09878527],"study_design_scores_gemma":[0.0000504506,0.00002579314,0.007876879,0.000008094002,0.00002914954,0.000007533145,0.00004621327,0.9815602,0.002134265,0.0005370384,0.007692478,0.00003195173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6759259,0.001059548,0.2433736,0.001758252,0.0005471489,0.0005256157,0.01215281,0.009971214,0.05468594],"genre_scores_gemma":[0.8976688,0.0003069715,0.09160428,0.00007823409,0.0000242412,0.0001010956,0.004844513,0.0001955098,0.00517646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07148999,"threshold_uncertainty_score":0.143822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171082299167423,"score_gpt":0.271939466437105,"score_spread":0.1548312365203627,"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."}}