{"id":"W3005178207","doi":"10.5194/cp-16-1777-2020","title":"Comparison of past and future simulations of ENSO in CMIP5/PMIP3 and CMIP6/PMIP4 models","year":2020,"lang":"en","type":"article","venue":"Climate of the past","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Russian Science Foundation; Climate Extremes; Vetenskapsrådet; National Supercomputer Centre, Linköpings Universitet; Natural Environment Research Council; National Research Foundation of Korea; Bundesministerium für Bildung und Forschung; Agence Nationale de la Recherche; National Science Council; Sight Research UK","keywords":"Climatology; Environmental science; Interglacial; Precipitation; Last Glacial Maximum; Climate model; Holocene; Multivariate ENSO index; El Niño Southern Oscillation; Glacial period; Climate state; Range (aeronautics); Climate change; Atmospheric sciences; Global warming; Geology; La Niña; Oceanography; Geography; Meteorology; Effects of global warming","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":[0.0001628855,0.00007788497,0.0003033507,0.00005106982,0.0000748103,0.000004118872,0.0001572519,0.0000913625,0.0001357462],"category_scores_gemma":[0.00002357806,0.00005492639,0.0000305624,0.0001830966,0.0003886781,0.00006413191,0.00005121248,0.0001615594,0.000003303241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":2.820362e-7,"about_ca_system_score_gemma":0.0000129471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005133091,"about_ca_topic_score_gemma":0.0007374874,"domain_scores_codex":[0.9991789,0.0001268408,0.0002755061,0.0001382693,0.000106874,0.0001736103],"domain_scores_gemma":[0.9994082,0.0002432744,0.0001273665,0.000127155,0.00003741618,0.00005660565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007768747,0.00001844716,0.9868806,0.0001537296,0.00001082263,7.791237e-7,0.001337998,0.01094973,0.00008140607,0.0002150568,0.00003385028,0.0002399144],"study_design_scores_gemma":[0.0003107593,0.00009725842,0.9149783,0.00002162635,0.00001489584,0.000004156102,0.0007660877,0.08302324,0.0001595591,0.0005068255,0.00006709686,0.00005024894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948555,0.0009050478,0.000005364941,0.002240868,0.00006349294,0.0001253147,0.000136711,0.000003910969,0.001663775],"genre_scores_gemma":[0.9995777,0.0001869631,0.0001337407,0.00004392434,0.00002938226,3.096006e-7,0.00001974108,0.000001709982,0.000006520366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07207351,"threshold_uncertainty_score":0.2239833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488653403233751,"score_gpt":0.2878014469100487,"score_spread":0.2429149128777112,"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."}}