{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001730665,0.000134353,0.0002934021,0.00003298337,0.0001020551,0.00001979063,0.000173139,0.00009574887,0.0004478276],"category_scores_gemma":[0.0001574932,0.0001127083,0.00007443806,0.0001499187,0.0003121329,0.0003968987,0.00026511,0.0002316934,0.000007147196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089287,"about_ca_system_score_gemma":0.00002718634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000109551,"about_ca_topic_score_gemma":0.0004166703,"domain_scores_codex":[0.9983916,0.0001903334,0.0005240036,0.0002309807,0.0003432275,0.000319866],"domain_scores_gemma":[0.9993426,0.0001159836,0.0002032812,0.0001599411,0.00002524975,0.0001530045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003261944,0.0003917752,0.9884679,0.00003103114,0.00001266101,0.00006711015,0.0009288862,0.005905719,0.001853842,0.0001525265,0.00004198557,0.001820387],"study_design_scores_gemma":[0.001151794,0.0002668482,0.9870421,0.00004067559,0.00002969632,0.0007966205,0.0002432173,0.004852027,0.0001645718,0.005015383,0.0002261879,0.000170888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968812,0.00001950422,0.0008916421,0.0007342341,0.0002427404,0.0001121203,0.00002955311,0.00001057519,0.001078362],"genre_scores_gemma":[0.9982741,0.0003570792,0.001146451,0.0001454229,0.00006380617,0.00000172426,9.938833e-7,0.000005598174,0.000004783398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004862856,"threshold_uncertainty_score":0.4903398,"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."}}