{"id":"W4389082339","doi":"10.1007/s00382-023-06986-2","title":"Uncertainties in the Arctic Ocean response to CO$$_2$$: a process-based analysis","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; York University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Climatology; Arctic; Ocean heat content; Arctic dipole anomaly; Shutdown of thermohaline circulation; Thermohaline circulation; Environmental science; Ocean current; Global warming; Effects of global warming on oceans; Latitude; Climate model; Oceanography; Arctic sea ice decline; Anticyclone; Climate change; Sea ice; Geology; Arctic ice pack; North Atlantic Deep Water; Drift ice","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002329292,0.0001510683,0.0002053794,0.0002345418,0.0001747891,0.00007119643,0.0004499597,0.00006636679,0.0002636753],"category_scores_gemma":[0.0002916747,0.0001164347,0.0001092793,0.003083397,0.000158933,0.0000989368,0.0001159855,0.000142705,0.0004397683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660333,"about_ca_system_score_gemma":0.0000211828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002914087,"about_ca_topic_score_gemma":0.002453518,"domain_scores_codex":[0.998271,0.0002312085,0.0002766429,0.0003851251,0.0003550696,0.0004808959],"domain_scores_gemma":[0.9988322,0.0005098229,0.00005623543,0.0005125087,0.00001245809,0.00007683757],"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":[0.0002902913,0.0000959501,0.347962,0.00004294204,0.00001553043,0.00001805555,0.002825443,0.6482629,0.0001036493,0.0001783981,0.00009753893,0.0001073648],"study_design_scores_gemma":[0.0001880921,0.00006645199,0.2125115,0.00001342227,0.00006636821,9.658285e-7,0.002242312,0.7833836,0.000007721264,0.001172805,0.0001846856,0.00016208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949813,0.000001518286,0.0003084207,0.003197529,0.00003537354,0.0003247585,0.000127818,0.00009391537,0.0009293363],"genre_scores_gemma":[0.9986887,0.00001082469,0.0001175307,0.0008853111,0.000005674919,0.00004323842,0.0001436899,0.00001414065,0.00009088452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354505,"threshold_uncertainty_score":0.5652478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777404247172849,"score_gpt":0.2940041360593436,"score_spread":0.2762300935876151,"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."}}