{"id":"W2162769655","doi":"10.1175/2008jcli2835.1","title":"Changes in Interannual Variability and Decadal Potential Predictability under Global Warming","year":2008,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Predictability; Climatology; Environmental science; Coupled model intercomparison project; Precipitation; Extratropical cyclone; Climate model; Mean radiant temperature; Standard deviation; Climate change; Forcing (mathematics); Subtropics; Global warming; Atmospheric sciences; Meteorology; Geography; Geology; Statistics; Mathematics","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":[0.0007554175,0.0001789213,0.0001599234,0.0004223009,0.0001590831,0.0007345473,0.0001525596,0.0002016422,0.0007185764],"category_scores_gemma":[0.002234317,0.0000915214,0.0002613794,0.0005936799,0.0001689824,0.0004860297,0.0002764746,0.0002655519,0.0001368414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249476,"about_ca_system_score_gemma":0.0001512382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002998564,"about_ca_topic_score_gemma":0.002392202,"domain_scores_codex":[0.9998721,0.00003318129,0.000009777606,0.00003302385,0.00003151128,0.00002050507],"domain_scores_gemma":[0.999055,0.0004139865,0.0002369075,0.00008507403,0.0001528864,0.00005616463],"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":[0.0002405525,0.00005287176,0.7830555,0.00004973511,0.0002925655,0.0002312599,0.0001810653,0.1892224,0.005044539,0.002806397,0.001437041,0.01738601],"study_design_scores_gemma":[0.000008325464,0.00005908428,0.8443312,0.00001092582,0.00003596969,0.0000632744,0.0001012044,0.1512012,0.0008418879,0.002771306,0.0005572123,0.00001845833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996617,0.00008250614,0.0011673,0.00009959109,0.00000888362,0.000002429309,0.0006235045,0.00003722292,0.001361649],"genre_scores_gemma":[0.9995199,0.00002347539,0.00007231461,0.00000601465,0.000005921679,0.000002162251,0.0002963609,0.000004706658,0.00006912657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002998564,"threshold_uncertainty_score":0.005962193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570307481288398,"score_gpt":0.2584136120021067,"score_spread":0.2427105371892228,"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."}}