{"id":"W3197470519","doi":"10.5194/acp-2021-719","title":"Long Range Prediction and the Stratosphere","year":2021,"lang":"en","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"H2020 European Research Council; Natural Environment Research Council; Ministry of Science and ICT, South Korea; Met Office; National Research Foundation; Sight Research UK; National Research Foundation of Korea; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Australian Government; National Science Foundation; Japan Society for the Promotion of Science; Department for Business, Energy and Industrial Strategy, UK Government; Biological and Environmental Research; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Stratosphere; Troposphere; Climatology; Environmental science; Range (aeronautics); Atmospheric sciences; Climate model; Meteorology; Climate change; Geography; Geology; Engineering; Aerospace engineering","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":[0.0005236169,0.0003118529,0.0001657583,0.0002527122,0.0002418154,0.001231981,0.0003071524,0.0003602059,0.005806503],"category_scores_gemma":[0.001904863,0.00007089098,0.0001915498,0.0004583647,0.000324977,0.001226385,0.0005294326,0.0007540025,0.0006952205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005409974,"about_ca_system_score_gemma":0.00070985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01856929,"about_ca_topic_score_gemma":0.01100473,"domain_scores_codex":[0.9998512,0.00005354916,0.000005594592,0.00002514674,0.00005362454,0.00001084052],"domain_scores_gemma":[0.9994216,0.0003177185,0.00006661939,0.0000395829,0.0001199123,0.00003469751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001245576,0.00004708892,0.02837682,0.0002637443,0.0001413624,0.0001334111,0.0001483801,0.6225837,0.003481731,0.1291162,0.02239131,0.1931917],"study_design_scores_gemma":[0.00003507509,0.00005318243,0.0155328,0.0003024678,0.00005621278,0.00004910523,0.0001433381,0.757136,0.002160139,0.1753656,0.04911759,0.00004846649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2188214,0.07188669,0.4327266,0.03065677,0.002187307,0.00007913217,0.005640869,0.002844629,0.2351566],"genre_scores_gemma":[0.9559373,0.008938315,0.02332839,0.000390338,0.0003849008,0.00002971251,0.00198977,0.0001243712,0.00887682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01856929,"threshold_uncertainty_score":0.0369224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003526975366719051,"score_gpt":0.1681054742357542,"score_spread":0.1645784988690351,"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."}}