{"id":"W4214693701","doi":"10.5194/acp-22-2601-2022","title":"Long-range prediction and the stratosphere","year":2022,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Biological and Environmental Research; Sight Research UK; National Science Foundation; Department for Business, Energy and Industrial Strategy, UK Government; Natural Environment Research Council; National Research Foundation of Korea; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; H2020 European Research Council; Japan Society for the Promotion of Science; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Stratosphere; Climatology; Troposphere; Environmental science; Range (aeronautics); Atmospheric sciences; Climate model; Meteorology; Climate change; Geology; Geography; Engineering; Oceanography","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":[0.0006871988,0.0003452938,0.0001677832,0.0002618718,0.0002596564,0.001271388,0.0003657145,0.0004053263,0.004067744],"category_scores_gemma":[0.001955902,0.0000804717,0.0002259403,0.0004876481,0.0002888716,0.001268175,0.0005611334,0.0007965966,0.0004986031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000641171,"about_ca_system_score_gemma":0.0008665959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02282671,"about_ca_topic_score_gemma":0.01606177,"domain_scores_codex":[0.9998549,0.00005392166,0.000006342333,0.00002700152,0.00004564926,0.00001220996],"domain_scores_gemma":[0.9993505,0.0002915458,0.0000904407,0.00005179164,0.0001688521,0.00004696528],"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":[0.0001018012,0.00005984675,0.04970156,0.0002178145,0.0002172349,0.000118428,0.0001366182,0.7003778,0.002977429,0.07671617,0.01970951,0.1496658],"study_design_scores_gemma":[0.00002732952,0.00004190528,0.02670858,0.0002316096,0.00006384274,0.00003495406,0.0001218679,0.8364981,0.001923199,0.1024863,0.03181484,0.00004749809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3228772,0.06260543,0.4098349,0.03225502,0.002029322,0.00008587217,0.00774945,0.002858847,0.159704],"genre_scores_gemma":[0.9704791,0.005982883,0.01632492,0.0002711904,0.0002847998,0.00002407907,0.002097345,0.00009799447,0.004437682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02282671,"threshold_uncertainty_score":0.04538769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005365573659315602,"score_gpt":0.1768104566495415,"score_spread":0.1714448829902259,"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."}}