{"id":"W2301934489","doi":"10.1175/jcli-d-15-0611.1","title":"Impact of Ural Blocking on Winter Warm Arctic–Cold Eurasian Anomalies. Part I: Blocking-Induced Amplification","year":2016,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":403,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Climatology; Arctic oscillation; Arctic; Anomaly (physics); Sea ice; Subarctic climate; Geology; Arctic ice pack; North Atlantic oscillation; Anticyclone; Arctic dipole anomaly; Arctic sea ice decline; Bay; Latitude; Siberian High; Oceanography; Atmospheric sciences; Northern Hemisphere; Antarctic sea ice; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007966684,0.0003108665,0.0003093038,0.0003312758,0.0004004583,0.0006540134,0.0003100782,0.0001650118,0.001586446],"category_scores_gemma":[0.001524071,0.00009687474,0.0004248741,0.0003939297,0.0003581549,0.0002505649,0.0005700135,0.000217953,0.0001710542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007905975,"about_ca_system_score_gemma":0.0006209382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03604362,"about_ca_topic_score_gemma":0.03744743,"domain_scores_codex":[0.9995583,0.0001344839,0.00003318745,0.00006082177,0.00007201318,0.0001412193],"domain_scores_gemma":[0.9987858,0.0002688589,0.0004676682,0.0001148446,0.0001872773,0.0001755265],"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":[0.0009576276,0.0001200388,0.9546456,0.00007001834,0.0002036841,0.0005260895,0.0004074927,0.004469802,0.0221504,0.0005402315,0.0004243922,0.01548471],"study_design_scores_gemma":[0.000004305823,0.0001042946,0.9953767,0.000005175035,0.00003050307,0.00004936977,0.0002782473,0.002315425,0.001290901,0.00003650025,0.0005041261,0.000004344298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983608,0.0001077948,0.00008341511,0.00002893458,0.000005696551,0.000004506975,0.00009700049,0.000009494801,0.001302213],"genre_scores_gemma":[0.9996446,0.00003953299,0.00004352604,0.000006823184,0.000004262455,0.000002308574,0.00008034559,0.000003066207,0.0001755731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03604362,"threshold_uncertainty_score":0.07166761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085108137529045,"score_gpt":0.2626797843014869,"score_spread":0.2418287029261965,"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."}}