{"id":"W2560372674","doi":"10.1007/s00382-016-3467-y","title":"Mechanisms of decadal variability in the Labrador Sea and the wider North Atlantic in a high-resolution climate model","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Seventh Framework Programme; Met Office; Natural Environment Research Council; Sight Research UK","keywords":"Ocean gyre; Climatology; North Atlantic oscillation; Thermohaline circulation; Oceanography; Atlantic multidecadal oscillation; Climate model; Ocean current; Ridge; Geology; Sea surface temperature; North Atlantic Deep Water; Climate change; Environmental science","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":[0.003432353,0.0001721946,0.0002780457,0.00003714215,0.0001129947,0.00002318902,0.0003568065,0.000104479,0.00004865638],"category_scores_gemma":[0.000178714,0.00008770213,0.00005674674,0.0002642715,0.0005702269,0.0002254037,0.0004003776,0.0001600438,0.00001319039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002441556,"about_ca_system_score_gemma":0.00001441175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130476,"about_ca_topic_score_gemma":0.02590209,"domain_scores_codex":[0.9979725,0.0004335535,0.0004750619,0.0003830384,0.0002743303,0.0004614714],"domain_scores_gemma":[0.9985456,0.000752522,0.0001334428,0.000515043,0.00001082752,0.00004255605],"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":[0.0005505067,0.0004294112,0.6399865,0.0001392257,0.000009706069,0.000006487731,0.001863962,0.06320361,0.0008433759,0.2911925,0.00001024993,0.00176442],"study_design_scores_gemma":[0.001180097,0.00002356734,0.1605908,0.00002896782,0.00001861903,0.000004717702,0.0001001118,0.7671939,0.000006359985,0.07073984,0.000001893033,0.0001111297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764385,0.000003985584,0.02094103,0.001428906,0.00004669313,0.0005313028,0.0001999299,0.00001731192,0.0003924041],"genre_scores_gemma":[0.9982659,0.0002771381,0.001178335,0.0001859052,0.000004167784,0.00004897851,0.00002186906,0.00001250826,0.000005249095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7039903,"threshold_uncertainty_score":0.9918727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009069603706829302,"score_gpt":0.2117643379691733,"score_spread":0.202694734262344,"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."}}