{"id":"W4389977483","doi":"10.1029/2023gl106492","title":"Reduced Deep Convection and Bottom Water Formation Due To Antarctic Meltwater in a Multi‐Model Ensemble","year":2023,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Victoria","funders":"Goddard Institute for Space Studies; Munich-Centre for Advanced Photonics; Australian Research Council; University of Otago; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Natural Science Foundation of China; Antarctica New Zealand; National Aeronautics and Space Administration","keywords":"Meltwater; Climatology; Geology; Climate model; Antarctic Bottom Water; Convection; Antarctic ice sheet; Downscaling; Sea ice; Environmental science; Cryosphere; Climate change; Oceanography; Meteorology; Thermohaline circulation; Glacier; Geomorphology","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":[0.0007294842,0.0006873024,0.0006226084,0.0003682747,0.0004760078,0.0008590742,0.0008424834,0.0008744398,0.0008482913],"category_scores_gemma":[0.0009290822,0.0004131969,0.001481157,0.0003935739,0.0004433275,0.0007561193,0.0007429725,0.0007682384,0.0001053182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000662723,"about_ca_system_score_gemma":0.0007317087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02600943,"about_ca_topic_score_gemma":0.01307424,"domain_scores_codex":[0.999836,0.00004712924,0.00001173866,0.00004501707,0.00002163423,0.00003851767],"domain_scores_gemma":[0.9995478,0.000129875,0.00007062242,0.0001033053,0.00006539046,0.0000829826],"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":[0.000248554,0.0001135376,0.04583625,0.00002915065,0.0007433587,0.0001118544,0.00004207109,0.9431997,0.005417987,0.0004409351,0.0008187563,0.002997819],"study_design_scores_gemma":[0.00005090443,0.00006308691,0.01882698,0.000004770347,0.0001117399,0.00001629861,0.00002214812,0.9790683,0.001273155,0.0002304718,0.0003090711,0.00002310877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971629,0.00007583301,0.001305484,0.0001334797,0.00002719049,0.000005534831,0.0005755951,0.0001041933,0.0006096798],"genre_scores_gemma":[0.9984301,0.00004172985,0.0005629319,0.00003287148,0.00001656179,0.00001088448,0.0007324323,0.00002223392,0.0001503125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02600943,"threshold_uncertainty_score":0.05171609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06017693691367777,"score_gpt":0.3210187710938016,"score_spread":0.2608418341801239,"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."}}