{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008849064,0.0001066288,0.0001559774,0.00003285729,0.0005121884,0.00002793574,0.0003426818,0.00005488757,0.001935305],"category_scores_gemma":[0.0001322465,0.00006357267,0.00005733341,0.0001076192,0.00004231206,0.0001540446,0.0000108818,0.00007551142,0.0001075194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001830149,"about_ca_system_score_gemma":0.0001502818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01170222,"about_ca_topic_score_gemma":0.07041582,"domain_scores_codex":[0.998917,0.0001108922,0.0002904563,0.0002589888,0.0002306229,0.0001919854],"domain_scores_gemma":[0.9989004,0.0003813957,0.0001051135,0.0004056203,0.00007360551,0.0001339025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004210703,0.0002125786,0.3519449,0.003316079,0.001008481,0.0000688913,0.001038354,0.06945124,0.00000444165,0.05464379,0.1472442,0.3706459],"study_design_scores_gemma":[0.0001288394,0.00006114625,0.4292326,0.0001755466,0.0001484823,0.000008067269,0.000006193537,0.4531244,4.317811e-8,0.001281022,0.1157347,0.00009905233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0104604,0.4710277,0.05005894,0.02890017,0.009528798,0.02587312,0.04121126,0.0009966171,0.361943],"genre_scores_gemma":[0.9892527,0.0003910665,0.004297844,0.002583333,0.0003166767,0.00004050863,0.002869662,0.00000723596,0.000241008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9787923,"threshold_uncertainty_score":0.9989771,"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."}}