{"id":"W3195085029","doi":"","title":"Irreducible Southern Ocean Climate Uncertainty due to Global Ocean Initial Conditions","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ocean heat content; Isopycnal; Climatology; Thermohaline circulation; Ocean current; Climate model; Sea surface temperature; Geology; Ocean dynamics; Ocean general circulation model; Deep ocean water; Ocean surface topography; Sea-surface height; Environmental science; Oceanography; Climate change; General Circulation Model","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":[0.001316497,0.0003250582,0.0003730523,0.0003685171,0.0005756184,0.001348381,0.0003569376,0.0004333226,0.00112885],"category_scores_gemma":[0.006834444,0.0003692213,0.0005776038,0.000541221,0.0007049033,0.001268091,0.0009091296,0.0006127298,0.0001116759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653147,"about_ca_system_score_gemma":0.00136359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0881408,"about_ca_topic_score_gemma":0.0777878,"domain_scores_codex":[0.9996437,0.0001230155,0.00001951782,0.00007640391,0.00006785479,0.00006953729],"domain_scores_gemma":[0.9991075,0.0004403611,0.0001263126,0.0001359238,0.0001339494,0.00005577696],"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":[0.00009730982,0.00003259048,0.2061029,0.00004286995,0.0001967918,0.0001795588,0.0001917395,0.7675483,0.00164321,0.01196151,0.001304044,0.01069915],"study_design_scores_gemma":[0.00003623407,0.00005644187,0.1422707,0.00007241538,0.0001440899,0.00006562862,0.0003120435,0.8248327,0.002703566,0.0264542,0.002978521,0.00007335807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785683,0.0002468298,0.01139885,0.0008641485,0.00005156937,0.00001105661,0.001042538,0.0001408623,0.007675857],"genre_scores_gemma":[0.9987044,0.00009319437,0.0005640094,0.00004444378,0.000006460512,0.000003167087,0.0003278593,0.00002172896,0.000234832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0881408,"threshold_uncertainty_score":0.1752555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0326248353206839,"score_gpt":0.2824716733143006,"score_spread":0.2498468379936167,"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."}}