{"id":"W2064948279","doi":"10.1029/2003gl018885","title":"The nonlinear Northern Hemisphere winter atmospheric response to ENSO","year":2004,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Northern Hemisphere; Teleconnection; Climatology; Geopotential height; North Atlantic oscillation; Sea surface temperature; El Niño Southern Oscillation; Geology; Oceanography; Southern Hemisphere; Pacific decadal oscillation; Geography; Precipitation; 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":[0.0001115975,0.0001499613,0.00007110743,0.00008917901,0.0001398722,0.0002733503,0.00006087374,0.0001240964,0.001791953],"category_scores_gemma":[0.001157627,0.0001077636,0.0001109985,0.0001324115,0.0001107608,0.0001662463,0.0002161962,0.0001733781,0.0001961785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730919,"about_ca_system_score_gemma":0.0001999616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144229,"about_ca_topic_score_gemma":0.01525121,"domain_scores_codex":[0.9999521,0.00001119653,0.000002146397,0.00001083389,0.00001081626,0.00001292151],"domain_scores_gemma":[0.9998494,0.00004785859,0.0000268253,0.0000129397,0.00004192437,0.00002095398],"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":[0.001051837,0.0001425652,0.4756247,0.0001343583,0.0002545445,0.0006878801,0.0006865798,0.2547302,0.1695173,0.005174796,0.009585124,0.08241017],"study_design_scores_gemma":[0.00001896956,0.00006319297,0.8044825,0.000008892845,0.00002325378,0.0001089143,0.0002222766,0.186317,0.004433379,0.00244762,0.001853861,0.00002014667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924427,0.0000494252,0.0009787474,0.0002508982,0.00001763021,0.000006670162,0.0004161519,0.00006250463,0.005775375],"genre_scores_gemma":[0.9987416,0.00003659617,0.0001138527,0.00001946769,0.000005452175,0.000002228751,0.0001929079,0.000006703553,0.0008811017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0144229,"threshold_uncertainty_score":0.02867788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185512944449354,"score_gpt":0.296703966163868,"score_spread":0.2748488367193744,"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."}}