{"id":"W2768532429","doi":"10.1002/2017gl075483","title":"A Census of Atmospheric Variability From Seconds to Decades","year":2017,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Core Research for Evolutional Science and Technology; NOAA Pacific Marine Environmental Laboratory; Australian Research Council; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; Israel Science Foundation; European Commission; National Science Foundation; Royal Society; Japan Science and Technology Agency; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Met Office; Department for Environment, Food and Rural Affairs, UK Government; Climate Extremes","keywords":"Stratosphere; Climatology; Environmental science; Troposphere; Atmosphere (unit); Hydrosphere; North Atlantic oscillation; Teleconnection; Atmospheric sciences; Meteorology; Geology; Geography; El Niño Southern Oscillation; Biosphere; 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":[0.0006749536,0.0001881204,0.0002228568,0.003117501,0.0003626858,0.001468118,0.0002020857,0.0002066344,0.003840544],"category_scores_gemma":[0.003942305,0.0001402416,0.0003226798,0.006049328,0.0004168174,0.002115574,0.0007328014,0.0009094831,0.0005627764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004468243,"about_ca_system_score_gemma":0.000549574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007073993,"about_ca_topic_score_gemma":0.005102337,"domain_scores_codex":[0.9995207,0.00007789494,0.0000586316,0.00009637684,0.0002081115,0.00003835302],"domain_scores_gemma":[0.997458,0.0009422995,0.0003434592,0.0003536607,0.0007687221,0.0001339311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005150112,0.00006221704,0.1586837,0.001630054,0.000319657,0.0003680361,0.00262587,0.008310409,0.006919818,0.124378,0.1142229,0.5819644],"study_design_scores_gemma":[0.00001689157,0.0001258645,0.3778337,0.0005191208,0.00006171106,0.0005580744,0.001249972,0.004444834,0.00110562,0.03202192,0.5819808,0.00008150102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5310476,0.1380355,0.05552168,0.01669023,0.005409612,0.0001844315,0.08908573,0.001668149,0.162357],"genre_scores_gemma":[0.9158328,0.04325297,0.00729055,0.001111806,0.002625867,0.000116504,0.02213778,0.0003298291,0.007301884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007073993,"threshold_uncertainty_score":0.01406562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05343296874701619,"score_gpt":0.3413912557264622,"score_spread":0.287958286979446,"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."}}