{"id":"W2785891975","doi":"10.5194/npg-25-481-2018","title":"Parametric covariance dynamics for the nonlinear diffusive Burgers equation","year":2018,"lang":"en","type":"article","venue":"Nonlinear processes in geophysics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Covariance; Applied mathematics; Kalman filter; Mathematics; Burgers' equation; Parametric statistics; Nonlinear system; Covariance matrix; Data assimilation; Extended Kalman filter; Statistical physics; Mathematical analysis; Algorithm; Statistics; Physics; Partial differential equation","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":[],"consensus_categories":[],"category_scores_codex":[0.0002912724,0.0001480342,0.0001803401,0.00007288453,0.0002973879,0.00006908506,0.0003158059,0.00008316488,0.0001752465],"category_scores_gemma":[0.001018652,0.00009925608,0.00004987471,0.001281536,0.0002027252,0.0001942641,0.00001499607,0.0001340188,0.00009737279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001151095,"about_ca_system_score_gemma":0.0001152798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003478558,"about_ca_topic_score_gemma":0.002703816,"domain_scores_codex":[0.998852,0.00003672259,0.0002723938,0.0002889616,0.0002287096,0.0003212419],"domain_scores_gemma":[0.9973814,0.001908908,0.0001300077,0.0002259251,0.0002955385,0.00005821569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005785177,0.0005989562,0.3393386,0.0004089107,0.0001068161,0.000007472038,0.001544876,0.3331733,0.00002180217,0.00727148,0.0002304453,0.3167188],"study_design_scores_gemma":[0.0003318602,0.000197449,0.03678501,0.0000106615,0.00002001809,5.675659e-7,0.0001020507,0.9475812,0.00002986646,0.01137908,0.00340632,0.0001559513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.872291,0.0004743291,0.1219234,0.0008872842,0.0008534775,0.001103348,0.0005713346,0.00008308135,0.001812842],"genre_scores_gemma":[0.9812692,0.00005244589,0.01686248,0.0004232354,0.0008323559,0.00001351338,0.0003968484,0.000006853425,0.000143046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6144079,"threshold_uncertainty_score":0.4047545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03395449428231269,"score_gpt":0.2646956019975897,"score_spread":0.230741107715277,"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."}}