{"id":"W4408433479","doi":"10.5194/egusphere-egu25-11943","title":"North Atlantic Ocean Circulation Changes Under Increased CO2 Concentrations Using a High-Resolution Global Coupled Climate Model ","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Circulation (fluid dynamics); Climatology; General Circulation Model; Environmental science; Ocean current; Oceanography; Representative Concentration Pathways; Climate model; Climate change; High resolution; Climate simulation; Geography; Geology; Physics; Remote sensing","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":[0.0002873967,0.0005676916,0.0004484511,0.0002914723,0.0003562411,0.0007570519,0.0008795467,0.001115329,0.001080204],"category_scores_gemma":[0.0007955616,0.0002803139,0.0008453127,0.0003865211,0.0003757648,0.0005060855,0.0003690284,0.0007273739,0.0001368607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006448105,"about_ca_system_score_gemma":0.0008151912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06240108,"about_ca_topic_score_gemma":0.04083519,"domain_scores_codex":[0.9998652,0.00003476715,0.000008837922,0.00004822707,0.00001934836,0.00002372307],"domain_scores_gemma":[0.9996765,0.0001230193,0.00003899325,0.00005298578,0.00006334652,0.00004522304],"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":[0.0002167447,0.0001984545,0.01484265,0.00004205184,0.0001608633,0.0001070032,0.00003661927,0.9742629,0.0060387,0.0004141625,0.000565602,0.003114372],"study_design_scores_gemma":[0.00006863016,0.00004360057,0.006913026,0.000002726777,0.00003011595,0.000006599164,0.00001357285,0.9918436,0.0007641273,0.00007586322,0.0002233168,0.0000147605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936992,0.00007233948,0.002380667,0.0001350589,0.00004080124,0.00001879421,0.001117205,0.0001920688,0.002343979],"genre_scores_gemma":[0.9959454,0.00003827069,0.00255015,0.00004238992,0.00001241493,0.00002776607,0.001020583,0.00002714158,0.0003359077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06240108,"threshold_uncertainty_score":0.1240758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239233781672893,"score_gpt":0.2452876100306239,"score_spread":0.222895272213895,"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."}}