{"id":"W3095801002","doi":"10.5194/esd-12-419-2021","title":"Labrador Sea subsurface density as a precursor of multidecadal variability in the North Atlantic: a multi-model study","year":2021,"lang":"en","type":"article","venue":"Earth System Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sight Research UK; National Science Foundation; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Natural Environment Research Council; Met Office; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Ocean gyre; Climatology; Geology; Subtropics; Ocean current; Oceanography; Thermohaline circulation; Shutdown of thermohaline circulation; Boundary current; North Atlantic Deep Water","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002422664,0.0002113341,0.0004024584,0.00002402145,0.0001226496,0.00003790952,0.0003813892,0.0001018325,0.00005002173],"category_scores_gemma":[0.0003221231,0.0001666427,0.0001052521,0.0004771499,0.0001267792,0.0001539155,0.00030853,0.00025858,0.00006670283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002125236,"about_ca_system_score_gemma":0.00008215712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009245975,"about_ca_topic_score_gemma":0.1837345,"domain_scores_codex":[0.9968843,0.001061025,0.0005707975,0.0005898475,0.0005512261,0.000342801],"domain_scores_gemma":[0.9983949,0.0004031005,0.0001588661,0.0009083554,0.00004876091,0.00008601805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003586372,0.00117118,0.8835086,0.0001148355,0.00001616831,0.00003885702,0.004500841,0.1101071,0.0001185495,0.0002790787,0.000002974443,0.0001059545],"study_design_scores_gemma":[0.0004739988,0.00003849114,0.3979041,0.00002051151,0.00002395269,0.00001740644,0.001654928,0.5997136,0.00001595326,0.00002443346,0.000003264359,0.0001093101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897369,0.000004597685,0.008257206,0.00007279667,0.00009321448,0.001169467,0.0001060475,0.00004087183,0.000518895],"genre_scores_gemma":[0.9964888,0.00000256966,0.003203333,0.00004309205,0.000007430619,0.0000315752,0.00003378007,0.00001440343,0.0001750114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4896065,"threshold_uncertainty_score":0.9973515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741072583224335,"score_gpt":0.245281083105998,"score_spread":0.2278703572737547,"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."}}