{"id":"W2140051688","doi":"10.1002/grl.50249","title":"Annular mode changes in the CMIP5 simulations","year":2013,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Coupled model intercomparison project; Mode (computer interface); Volcano; Climatology; Environmental science; Atmospheric sciences; Arctic oscillation; Irradiance; Oscillation (cell signaling); Aerosol; Climate model; Meteorology; Geology; Climate change; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004708873,0.00007203432,0.00008050905,0.00004161089,0.0001696546,0.00007635016,0.0003969521,0.00003249771,0.001306563],"category_scores_gemma":[0.0001514218,0.00004923192,0.00003053342,0.0004444045,0.0003534991,0.000202176,0.0002167411,0.0003500478,0.001732984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009233505,"about_ca_system_score_gemma":0.000004835595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005391682,"about_ca_topic_score_gemma":0.0008025115,"domain_scores_codex":[0.998199,0.000303339,0.00008944132,0.0002505917,0.0006632422,0.0004943903],"domain_scores_gemma":[0.9989342,0.0006091683,0.00001064818,0.0003629783,0.00001095665,0.00007202486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002077343,0.0006569806,0.02356128,0.00002115878,0.000009374566,0.00001915104,0.005949479,0.05390566,0.8698769,0.003143521,0.03896744,0.003868314],"study_design_scores_gemma":[0.0005185591,0.0001569475,0.5958762,0.00002088478,0.000005487932,0.000001286317,0.0005756511,0.337181,0.001337425,0.04677296,0.01719924,0.0003543589],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466929,0.000001477594,0.00008638985,0.0509697,0.00001496432,0.0004216769,0.000007075571,0.00001197121,0.001793829],"genre_scores_gemma":[0.9967079,0.000003199439,0.00008815255,0.002857111,0.00006477602,0.0001168496,0.000008082764,0.000006211915,0.000147774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8685395,"threshold_uncertainty_score":0.9996064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05749989835012122,"score_gpt":0.3372128630021418,"score_spread":0.2797129646520206,"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."}}