{"id":"W3093291485","doi":"10.1007/s00382-020-05501-1","title":"The dominant North Pacific atmospheric circulation patterns and their relations to Pacific SSTs: historical simulations and future projections in the IPCC AR6 models","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Climatology; Pacific decadal oscillation; Teleconnection; Climate model; Environmental science; Sea surface temperature; Atmospheric circulation; Precipitation; El Niño Southern Oscillation; Multivariate ENSO index; Climate change; Forcing (mathematics); Boreal; Atmospheric model; General Circulation Model; Atmospheric sciences; La Niña; Geology; Oceanography; Geography; Meteorology","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":[0.0005521275,0.0005331668,0.0002251275,0.0005569907,0.000456357,0.0009595347,0.0004437653,0.0005350502,0.002118977],"category_scores_gemma":[0.001883067,0.0004148024,0.0005965542,0.001538431,0.000386866,0.0009618454,0.0003103811,0.0007469609,0.0003791047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007613396,"about_ca_system_score_gemma":0.0008425062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0732154,"about_ca_topic_score_gemma":0.08355036,"domain_scores_codex":[0.9998906,0.00002968509,0.000008767277,0.00003481867,0.00001670159,0.00001944449],"domain_scores_gemma":[0.9995793,0.0001533718,0.00006557437,0.00003827904,0.00009642183,0.00006713173],"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":[0.0002948273,0.0001226765,0.1700161,0.0002363649,0.0002351456,0.0001997148,0.0003360267,0.7791746,0.001746386,0.005848684,0.01284837,0.02894112],"study_design_scores_gemma":[0.0001165327,0.00005140356,0.1954248,0.00007348994,0.0001647269,0.0001301592,0.0002155701,0.7909098,0.001325635,0.004963344,0.006571952,0.0000526319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757676,0.0007998779,0.0040647,0.0006164182,0.0001072998,0.00001984917,0.01121801,0.0002330974,0.007173294],"genre_scores_gemma":[0.9938819,0.0007678405,0.001614632,0.00002810378,0.00002311808,0.00002086801,0.002418759,0.0000559172,0.001188836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0732154,"threshold_uncertainty_score":0.1455784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540546297211564,"score_gpt":0.2100233028749857,"score_spread":0.1946178399028701,"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."}}