{"id":"W3055892768","doi":"10.1080/16000870.2020.1803663","title":"Climate persistence and memory","year":2020,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Autocorrelation; Persistence (discontinuity); Exponent; Geopotential height; Climatology; Scaling; Mathematics; Confidence interval; Precipitation; Statistical physics; Atmospheric sciences; Environmental science; Statistics; Physics; Meteorology; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002894841,0.0001707731,0.0005135988,0.0002020897,0.000202481,0.0000421246,0.0001280615,0.0001029999,0.0002938537],"category_scores_gemma":[0.00003050757,0.0001802825,0.0001496803,0.0003451204,0.0002476279,0.0001084882,0.0001219607,0.0001361662,0.0000575989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005492195,"about_ca_system_score_gemma":0.00000332754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003057491,"about_ca_topic_score_gemma":0.0000286438,"domain_scores_codex":[0.9987252,0.00002760615,0.0004113954,0.0005110616,0.00002414882,0.0003006394],"domain_scores_gemma":[0.9994075,0.00004068094,0.0001870207,0.0001869869,0.00001532589,0.0001624367],"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":[0.0003405123,0.0001041303,0.6619841,0.0005949697,0.00119689,0.00007122798,0.006071114,0.00007290918,0.0002230457,0.315183,0.0007456622,0.01341252],"study_design_scores_gemma":[0.004919396,0.002365127,0.3903586,0.00006290252,0.0005253155,0.0002849375,0.005398476,0.4274833,0.00003019108,0.06571576,0.1000011,0.00285488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679881,0.02020486,0.001395108,0.002222928,0.0001177344,0.0001533302,0.0001064354,0.00007323718,0.007738211],"genre_scores_gemma":[0.9965255,0.00161517,0.0006727083,0.001041098,0.00003231324,0.000004953004,0.00001087406,0.00001444032,0.00008293916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4274104,"threshold_uncertainty_score":0.7351707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411972541175321,"score_gpt":0.1909585543733718,"score_spread":0.1668388289616186,"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."}}