{"id":"W2110479980","doi":"10.1175/jcli-d-12-00495.1","title":"Southern Annular Mode Dynamics in Observations and Models. Part II: Eddy Feedbacks","year":2013,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Lamont-Doherty Earth Observatory, Columbia University; U.S. Department of Energy","keywords":"Climatology; Forcing (mathematics); Eddy; Zonal flow (plasma); Environmental science; Northern Hemisphere; Climate model; Southern Hemisphere; Atmospheric circulation; Atmosphere (unit); Atmospheric sciences; General Circulation Model; Mode (computer interface); Coupled model intercomparison project; Antarctic oscillation; Geology; Climate change; Meteorology; Physics; Turbulence; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001056448,0.0004997837,0.0002659274,0.0003265497,0.0003645605,0.0006488864,0.0006179152,0.0004040381,0.000745426],"category_scores_gemma":[0.001938663,0.0002785117,0.0004015915,0.0004265926,0.00028808,0.0006353841,0.0003440847,0.0003891494,0.0001068346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958375,"about_ca_system_score_gemma":0.0008826223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.37918,"about_ca_topic_score_gemma":0.2952849,"domain_scores_codex":[0.9998353,0.00003445262,0.000009706341,0.00004708737,0.00004380203,0.00002980688],"domain_scores_gemma":[0.9994154,0.0002454814,0.00009006483,0.00008450857,0.000109766,0.00005478568],"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":[0.0005895288,0.0002522634,0.5381017,0.0001861217,0.0003563231,0.0002221625,0.0004012157,0.3979757,0.02782554,0.00237924,0.003437339,0.02827272],"study_design_scores_gemma":[0.00009060209,0.00007565533,0.4171388,0.00002016826,0.00006389327,0.00003308177,0.0001033115,0.5770323,0.003042971,0.0007660348,0.001596379,0.00003668715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954378,0.0002431286,0.001445373,0.0001490158,0.0000122794,0.00002556047,0.001073431,0.0001602169,0.001453243],"genre_scores_gemma":[0.9985176,0.00007809563,0.0006253251,0.00001863722,0.000006086512,0.000009745644,0.0005193267,0.00001813351,0.0002071179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.37918,"threshold_uncertainty_score":0.7539459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341850645900066,"score_gpt":0.2371692008079176,"score_spread":0.2137506943489169,"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."}}