{"id":"W4388912307","doi":"10.1175/jcli-d-23-0360.1","title":"The Siberian Storm Track Weakens the Warm Arctic–Cold Eurasia Pattern","year":2023,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Natural Science Foundation of Hunan Province; National University of Defense Technology; National Natural Science Foundation of China","keywords":"Storm track; Baroclinity; Climatology; Storm; Siberian High; Forcing (mathematics); Arctic; Geology; Anomaly (physics); Middle latitudes; Extratropical cyclone; Synoptic scale meteorology; Oceanography; Geography; East Asia","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":[0.0002591758,0.0001822639,0.0001931826,0.000387259,0.0003186232,0.000708632,0.0001086229,0.0001108051,0.002514509],"category_scores_gemma":[0.0003927413,0.00007255386,0.0002809734,0.0005465684,0.0001840711,0.0002622281,0.0003229931,0.0002191897,0.0002533507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389293,"about_ca_system_score_gemma":0.0005049281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025931,"about_ca_topic_score_gemma":0.02651396,"domain_scores_codex":[0.9999102,0.00001219236,0.00001133651,0.00002774646,0.00002123505,0.00001727071],"domain_scores_gemma":[0.9997631,0.00002509556,0.00008270844,0.0000271887,0.00007173502,0.00003021449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001294051,0.00002612616,0.9540309,0.00005218323,0.0002713137,0.0002591861,0.0002254306,0.002576055,0.01990412,0.0005504747,0.0009048252,0.02107005],"study_design_scores_gemma":[0.000002305736,0.000008836767,0.9968785,0.000005666458,0.0000237121,0.00002748114,0.00007950111,0.001679486,0.0007080956,0.00007163385,0.0005122264,0.000002626236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965012,0.000124697,0.000400437,0.00009965352,0.00002194172,0.000002960599,0.0003312344,0.0000233625,0.002494477],"genre_scores_gemma":[0.9989512,0.00008075021,0.0001787189,0.00002136707,0.000009736124,0.000001542491,0.000287628,0.000004528979,0.0004644424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02025931,"threshold_uncertainty_score":0.04028279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088427106468152,"score_gpt":0.2583628491904444,"score_spread":0.2374785781257629,"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."}}