{"id":"W2571451131","doi":"10.1175/mwr-d-16-0135.1","title":"Developing a Convective-Scale EnKF Data Assimilation System for the Canadian MEOPAR Project","year":2017,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Data assimilation; Environmental science; Meteorology; Ensemble Kalman filter; Climatology; Computer science; Kalman filter; Geology; Geography; Extended Kalman filter","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001152524,0.0001136992,0.0002350333,0.00002332311,0.00147865,0.0001757482,0.0008335665,0.00004536241,0.0001968883],"category_scores_gemma":[0.0002783455,0.00006316776,0.00005242247,0.00006336284,0.00005926287,0.0002351415,0.00002617267,0.00007621667,0.00007250583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002397685,"about_ca_system_score_gemma":0.0002214171,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06661563,"about_ca_topic_score_gemma":0.5515923,"domain_scores_codex":[0.9990203,0.0001034436,0.0002238524,0.0002755443,0.0001371413,0.0002396948],"domain_scores_gemma":[0.9985802,0.000234997,0.0001577424,0.0008875257,0.00005696815,0.0000825201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006829518,0.00002615044,0.3620894,0.004122138,0.0003677553,0.00001952335,0.0008973237,0.002058436,0.000003515692,0.006618373,0.01805298,0.6056762],"study_design_scores_gemma":[0.0001877402,0.00003980875,0.2833472,0.0006211072,0.0001337194,0.000002116607,0.00004823148,0.05928378,0.000001487146,0.0003835003,0.6557532,0.0001981389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01490833,0.5327449,0.0116821,0.05063672,0.003380897,0.02349826,0.007249234,0.0003729025,0.3555267],"genre_scores_gemma":[0.9938768,0.001709549,0.002267023,0.001203739,0.0001669838,0.00004810353,0.0004396377,0.000006421966,0.0002817497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9789684,"threshold_uncertainty_score":0.9998213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1924060280877093,"score_gpt":0.3329032234781455,"score_spread":0.1404971953904362,"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."}}