{"id":"W2990321230","doi":"10.1175/jas-d-19-0198.1","title":"A Nonlinear Theory of Atmospheric Blocking: An Application to Greenland Blocking Changes Linked to Winter Arctic Sea Ice Loss","year":2019,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Climatology; Middle latitudes; Atmospheric sciences; Blocking (statistics); Geology; Arctic; Baroclinity; Eddy; Siberian High; Potential vorticity; Environmental science; Vorticity; Vortex; Oceanography; Turbulence; Physics; Meteorology","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":[0.000659924,0.000347605,0.0002254148,0.0007958543,0.0003720655,0.0004438757,0.0005016701,0.0003009762,0.001599619],"category_scores_gemma":[0.001731835,0.0001109441,0.0005448319,0.0006006804,0.0006912852,0.0005850663,0.0005068289,0.0004624673,0.0001308948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080996,"about_ca_system_score_gemma":0.0008195411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02659772,"about_ca_topic_score_gemma":0.01348334,"domain_scores_codex":[0.999849,0.00003979324,0.000008240968,0.00002542709,0.00004505515,0.00003250674],"domain_scores_gemma":[0.9992312,0.000331429,0.0002227228,0.00004455475,0.0001231671,0.00004692243],"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":[0.0001359229,0.0001084968,0.113471,0.0001814829,0.0001129952,0.001189624,0.0007834572,0.6972319,0.01217101,0.1352229,0.001697514,0.03769372],"study_design_scores_gemma":[0.000004904835,0.00003534319,0.01808314,0.000008171214,0.00001873966,0.0001034493,0.0001530988,0.9631907,0.000456049,0.01717587,0.0007580156,0.00001247968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6730223,0.0008617748,0.3029111,0.001108118,0.0001384187,0.00008435722,0.0004100467,0.0001677272,0.02129617],"genre_scores_gemma":[0.9917547,0.0003815446,0.005516201,0.00004056411,0.00006053663,0.00002393458,0.00005755445,0.00002270119,0.002142244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02659772,"threshold_uncertainty_score":0.05288577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154100176980114,"score_gpt":0.231589688659505,"score_spread":0.2200486868897039,"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."}}