{"id":"W3015767402","doi":"10.1029/2019jd032362","title":"Progress in Simulating the Quasi‐Biennial Oscillation in CMIP Models","year":2020,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":207,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Sight Research UK; Environmental Restoration and Conservation Agency; Natural Environment Research Council; Met Office; U.S. Department of Energy; Japan Society for the Promotion of Science; Department for Environment, Food and Rural Affairs, UK Government; National Science Foundation","keywords":"Quasi-biennial oscillation; Stratosphere; Teleconnection; Climatology; Coupled model intercomparison project; Atmospheric sciences; Environmental science; Amplitude; Climate model; Oscillation (cell signaling); Geology; Climate change; El Niño Southern Oscillation; 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":[0.002377521,0.001326452,0.0006533876,0.0005209593,0.0004959695,0.001385971,0.002030982,0.001126835,0.002063188],"category_scores_gemma":[0.005464007,0.0007324796,0.001121928,0.0008817242,0.0003921694,0.001546056,0.0008068391,0.001173997,0.0004580757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322685,"about_ca_system_score_gemma":0.001518442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05395057,"about_ca_topic_score_gemma":0.02823065,"domain_scores_codex":[0.9994103,0.0003101941,0.00003697511,0.0001003073,0.00008560302,0.00005669411],"domain_scores_gemma":[0.9979551,0.001150278,0.0001771601,0.0002984052,0.0003047871,0.0001142866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006119033,0.00004664376,0.007763354,0.00006481034,0.0001489644,0.00003149427,0.0000397223,0.9815683,0.0006158908,0.001053005,0.001505604,0.007101027],"study_design_scores_gemma":[0.00004747294,0.0000191503,0.001946198,0.00001641887,0.00003002777,0.000008044884,0.00001772269,0.9953316,0.0004757265,0.0006556079,0.001438389,0.00001359723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8693163,0.002012514,0.09703292,0.001858053,0.0003452482,0.0002139241,0.01126719,0.003957749,0.01399601],"genre_scores_gemma":[0.9314708,0.001057728,0.05871,0.000273423,0.0001116415,0.0002640945,0.006352738,0.0004161668,0.001343466],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05395057,"threshold_uncertainty_score":0.1072731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06370743429890069,"score_gpt":0.3241208316109044,"score_spread":0.2604133973120037,"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."}}