{"id":"W2134168732","doi":"10.1175/2009mwr2998.1","title":"An Examination of Background Error Correlations between Mass and Rotational Wind over Precipitation Regions","year":2009,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Diabatic; Geostrophic wind; Precipitation; Data assimilation; Environmental science; Climatology; Quantitative precipitation forecast; Linear regression; Meteorology; Mathematics; Statistics; Geology; Adiabatic process; Geography; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002563125,0.0002227357,0.0003433651,0.0007916915,0.000175201,0.0007582805,0.0002476488,0.0002296054,0.00066214],"category_scores_gemma":[0.01077052,0.0001765107,0.0001966612,0.001148572,0.0002218545,0.0005431522,0.0003085725,0.0003240077,0.0001617582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002397737,"about_ca_system_score_gemma":0.0003054893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004387856,"about_ca_topic_score_gemma":0.004823083,"domain_scores_codex":[0.9992349,0.0001894259,0.00005268339,0.0001744414,0.0002781614,0.00007044118],"domain_scores_gemma":[0.9901491,0.005935151,0.001083021,0.0007344628,0.001946785,0.000151553],"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":[0.0006670569,0.0001212094,0.8726726,0.00008807691,0.0002874634,0.0003513866,0.0003295442,0.05413586,0.01485184,0.003455048,0.0009116766,0.05212824],"study_design_scores_gemma":[0.00001167831,0.0001305807,0.9101074,0.00001511459,0.00005126833,0.00008748384,0.00009020606,0.08384591,0.004339683,0.0004926829,0.0008129315,0.00001507339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895046,0.0001481789,0.007758614,0.00006826157,0.00001947584,0.00001300835,0.0003439412,0.00007265319,0.002071343],"genre_scores_gemma":[0.9985492,0.00004848805,0.0007644806,0.000006185104,0.00001026697,0.000003851936,0.0003397141,0.00001359525,0.0002642864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004387856,"threshold_uncertainty_score":0.01355523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05462169465634924,"score_gpt":0.289125696636608,"score_spread":0.2345040019802587,"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."}}