{"id":"W2029217579","doi":"10.1175/mwr-d-11-00160.1","title":"Four-Dimensional Variational Data Assimilation for the Canadian Regional Deterministic Prediction System","year":2011,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Radiosonde; Data assimilation; Meteorology; Grid; Upgrade; Climatology; Context (archaeology); Latitude; Environmental science; Global Forecast System; Assimilation (phonology); Computer science; Minification; Numerical weather prediction; Geology; Geography; Geodesy","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":[0.000834599,0.0003371117,0.0002999913,0.0005041031,0.00080148,0.0006340856,0.0009283662,0.0002224757,0.001129514],"category_scores_gemma":[0.00141224,0.0002078609,0.0003854329,0.0009233843,0.0002712381,0.0002871687,0.0004196121,0.0004902766,0.0001558081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007167545,"about_ca_system_score_gemma":0.01235849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9442267,"about_ca_topic_score_gemma":0.9431225,"domain_scores_codex":[0.9997402,0.00005097103,0.00001006177,0.00003879809,0.0001208461,0.00003918699],"domain_scores_gemma":[0.9996424,0.00004543132,0.00001842517,0.0000218473,0.0002522782,0.00001958376],"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":[0.00006998784,0.00001983707,0.006829789,0.00004941897,0.00009375755,0.00003489745,0.00004413783,0.9100513,0.003180389,0.01005085,0.005464192,0.06411134],"study_design_scores_gemma":[0.000007585316,0.000004485125,0.002833903,0.000003268093,0.000009736906,0.000003244334,0.0000126681,0.9925046,0.0005940871,0.0009471591,0.003063271,0.00001599688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4086069,0.002238093,0.5475071,0.002883895,0.0003903711,0.0001948446,0.008975305,0.002518226,0.02668519],"genre_scores_gemma":[0.8726713,0.0005393577,0.1179286,0.00008574521,0.0000259575,0.00006175413,0.002711355,0.0001374584,0.005838272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9442267,"threshold_uncertainty_score":0.1122035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2131292076384303,"score_gpt":0.2652248232829625,"score_spread":0.05209561564453224,"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."}}