{"id":"W2900648102","doi":"10.5194/cp-15-1621-2019","title":"Towards understanding potential atmospheric contributions to abrupt climate changes: characterizing changes to the North Atlantic eddy-driven jet over the last deglaciation","year":2019,"lang":"en","type":"article","venue":"Climate of the past","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; Bundesministerium für Bildung und Forschung; U.S. Department of Energy; National Science Foundation","keywords":"Deglaciation; Geology; Climatology; Climate state; Jet (fluid); Last Glacial Maximum; Climate model; Atmospheric circulation; Glacial period; Latitude; Middle latitudes; Climate change; Glacier; Jet stream; Atmospheric sciences; Oceanography; Global warming; Geodesy; Effects of global warming; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006963319,0.000405191,0.0003809913,0.0004027114,0.0002975831,0.000821148,0.0004243323,0.0006084516,0.0006743027],"category_scores_gemma":[0.002433053,0.0002882792,0.0007657384,0.0004318521,0.0003267032,0.0005751934,0.0004841083,0.0005635332,0.00006711451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000380771,"about_ca_system_score_gemma":0.0006001516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538107,"about_ca_topic_score_gemma":0.01565074,"domain_scores_codex":[0.9999014,0.00003349761,0.00001028446,0.0000221191,0.00001416737,0.00001850471],"domain_scores_gemma":[0.9994256,0.0002589071,0.000125779,0.00005983012,0.00005832455,0.00007144588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002339714,0.0001840572,0.4257348,0.00008798143,0.0003933805,0.0001522143,0.0001530343,0.5551429,0.0102422,0.001102198,0.0005041091,0.006069202],"study_design_scores_gemma":[0.00005307482,0.0001114477,0.07595195,0.0000115075,0.00004836754,0.00002656289,0.0001025337,0.9219826,0.001103574,0.0003442663,0.000250316,0.0000137671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972388,0.00005797623,0.001811044,0.00007807852,0.000008024963,0.00001000212,0.0002765839,0.00006109476,0.0004582435],"genre_scores_gemma":[0.9981483,0.00003056957,0.00144611,0.00001852039,0.000004369755,0.000008152332,0.000282822,0.00001408464,0.00004710127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01538107,"threshold_uncertainty_score":0.03058308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206173108419209,"score_gpt":0.253155035190066,"score_spread":0.2310933041058739,"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."}}