{"id":"W4389571449","doi":"10.5194/egusphere-2023-2589","title":"Tipping points in ocean and atmosphere circulations","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Oceanic and Atmospheric Administration; Climate Extremes; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Bundesministerium für Bildung und Forschung; HORIZON EUROPE Framework Programme; Agence Nationale de la Recherche; U.S. Department of Energy; European Commission; Fetzer Institute; Fundação de Amparo à Pesquisa do Estado de São Paulo; Met Office; Natural Environment Research Council; UK Research and Innovation; Vetenskapsrådet; National Science Foundation","keywords":"Climatology; Ocean gyre; Abrupt climate change; Tipping point (physics); Lead (geology); Environmental science; Climate change; Atmospheric circulation; Thermohaline circulation; Atmosphere (unit); Oceanography; Geology; Global warming; Geography; Effects of global warming; Subtropics; 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":[0.0006259069,0.000585377,0.0008406194,0.001716125,0.0002523594,0.001586223,0.0004531374,0.0006184903,0.003782373],"category_scores_gemma":[0.002004036,0.0001953841,0.0006814775,0.002537752,0.0005812908,0.001568959,0.0007169296,0.0009455974,0.0006934207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005470596,"about_ca_system_score_gemma":0.001088726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002283172,"about_ca_topic_score_gemma":0.002188808,"domain_scores_codex":[0.9995223,0.0001298018,0.00006778117,0.0001192643,0.0001230502,0.00003767579],"domain_scores_gemma":[0.9991854,0.0004016729,0.0001879333,0.00002685349,0.0001606516,0.0000373877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001758577,0.00003575179,0.008897311,0.04512919,0.001294844,0.0007135577,0.0009211132,0.007345863,0.003470506,0.04272551,0.03609223,0.8531983],"study_design_scores_gemma":[0.00001991615,0.0001837805,0.02359545,0.01314987,0.0008894225,0.001131542,0.0005770031,0.001568217,0.001176797,0.02444705,0.9331672,0.0000937141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.001960853,0.992668,0.001051813,0.0006159017,0.0007860718,0.000005740922,0.0001440749,0.00001952998,0.002747938],"genre_scores_gemma":[0.03212105,0.9647614,0.0006911991,0.0005100241,0.000869121,0.00001220946,0.0001739842,0.000008027399,0.0008531121],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003782373,"threshold_uncertainty_score":0.01265323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04643162051208969,"score_gpt":0.2655800497820717,"score_spread":0.219148429269982,"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."}}