{"id":"W2886843658","doi":"10.5194/acp-19-425-2019","title":"Structural changes in the shallow and transition branch of the Brewer–Dobson circulation induced by El Niño","year":2019,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Centre for Medium-Range Weather Forecasts; California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Stratosphere; Atmospheric sciences; Climatology; Slowdown; Anomaly (physics); Ozone depletion; Trace gas; Environmental science; Polar vortex; Atmospheric circulation; Geology; 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":[0.0001377752,0.0002117399,0.000129865,0.0002609693,0.0001713783,0.0003780232,0.0001550329,0.000237754,0.0009719728],"category_scores_gemma":[0.0004363587,0.0001228094,0.0002774868,0.0001947194,0.0002383837,0.0002525929,0.000380265,0.0002904501,0.00008036372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349355,"about_ca_system_score_gemma":0.0003567908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03518678,"about_ca_topic_score_gemma":0.03056493,"domain_scores_codex":[0.9999413,0.000007038226,0.000004063867,0.00001777898,0.00001114525,0.00001867932],"domain_scores_gemma":[0.9998841,0.00001294555,0.00004128366,0.000009861481,0.00001758227,0.00003421403],"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":[0.0003974766,0.0001577276,0.8815526,0.00006897011,0.0002978289,0.0002912742,0.0004022231,0.03519268,0.06623048,0.00137192,0.002107234,0.01192958],"study_design_scores_gemma":[0.00001394442,0.00002018745,0.9752007,0.000007685138,0.00001872901,0.00001660131,0.00006900279,0.02246112,0.001478017,0.0001477687,0.0005576467,0.000008587376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989269,0.00003831559,0.0001678814,0.00005593594,0.000008674056,0.000002334337,0.0002490912,0.00001961631,0.0005311563],"genre_scores_gemma":[0.9995171,0.0000242659,0.00005199409,0.0000138457,0.000002624538,0.00000175544,0.0002799362,0.000003100039,0.0001053721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03518678,"threshold_uncertainty_score":0.06996393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007115463371212695,"score_gpt":0.1928957822389016,"score_spread":0.1857803188676889,"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."}}