{"id":"W2019840454","doi":"10.1007/s10584-013-0705-8","title":"Changes in temperature and precipitation extremes in the CMIP5 ensemble","year":2013,"lang":"en","type":"article","venue":"Climatic Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":1104,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"U.S. Department of Energy","keywords":"Climatology; Precipitation; Environmental science; Coupled model intercomparison project; Subtropics; Forcing (mathematics); Extratropical cyclone; Atmospheric sciences; Climate model; Ensemble average; Climate change; Meteorology; Geology; Geography; Oceanography","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":[0.000967685,0.0003511214,0.0002294632,0.0004360036,0.0002753741,0.0005386711,0.0005122467,0.0009402838,0.001877094],"category_scores_gemma":[0.002426458,0.0002189574,0.0005204485,0.001185764,0.0001958313,0.00095127,0.000373005,0.0008681879,0.0002961996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007923462,"about_ca_system_score_gemma":0.0004122553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02568081,"about_ca_topic_score_gemma":0.02605259,"domain_scores_codex":[0.9997734,0.00006397218,0.00001542289,0.00007028054,0.00003523109,0.00004164068],"domain_scores_gemma":[0.9994934,0.0001658868,0.00007387307,0.00007417452,0.0001238744,0.00006877144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001139451,0.0001656573,0.2612759,0.000177386,0.0006770226,0.000211534,0.0001688751,0.6691042,0.00450859,0.008057892,0.02862964,0.02588386],"study_design_scores_gemma":[0.0001189768,0.00007620428,0.2938066,0.00003899583,0.0001711429,0.0001162508,0.0001069842,0.6913921,0.00266437,0.003468388,0.007966818,0.00007318436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732704,0.0004261784,0.002760883,0.001096757,0.0002467189,0.00001113494,0.0181115,0.000295917,0.003780444],"genre_scores_gemma":[0.9925752,0.0001302188,0.0009878179,0.00007293149,0.00004718709,0.0000113029,0.005694777,0.00003948352,0.0004411503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02568081,"threshold_uncertainty_score":0.05106264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04654118995488552,"score_gpt":0.2523192089451087,"score_spread":0.2057780189902232,"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."}}