{"id":"W4241028918","doi":"10.5194/esd-2020-83","title":"Labrador Sea sub-surface density as a precursor of multi-decadalvariability in the North Atlantic: a multi-model study","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Met Office; Natural Environment Research Council; Sight Research UK","keywords":"Ocean gyre; Climatology; Subtropics; Ocean current; Geology; Boundary current; Thermohaline circulation; Oceanography; Shutdown of thermohaline circulation; Sea surface temperature; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065564,0.0006552669,0.0007667307,0.0004385359,0.0005663791,0.001142076,0.001043971,0.0009982084,0.001684762],"category_scores_gemma":[0.001660153,0.0004251777,0.001883741,0.0005045622,0.0003791844,0.0008425167,0.0006930002,0.000948459,0.0001781957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048828,"about_ca_system_score_gemma":0.0008129746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07343376,"about_ca_topic_score_gemma":0.04518922,"domain_scores_codex":[0.9998283,0.00006511009,0.00000999756,0.00004652267,0.00001468154,0.00003530534],"domain_scores_gemma":[0.999262,0.000383636,0.0001002331,0.00007835229,0.00007831345,0.00009750533],"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":[0.0003969057,0.0002470039,0.2332854,0.00007205705,0.001200553,0.0002836926,0.00009433821,0.7557603,0.002029323,0.001515947,0.001456062,0.003658369],"study_design_scores_gemma":[0.00006548281,0.0001148041,0.06175667,0.0000118553,0.0001921635,0.00002711454,0.00008125511,0.9365287,0.0003223909,0.0004414662,0.0004288319,0.00002924093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974287,0.0002077949,0.0008151985,0.0001722858,0.00001652714,0.000008014727,0.0007226199,0.00004732499,0.0005816055],"genre_scores_gemma":[0.9984042,0.00009872513,0.0004112406,0.00003672601,0.000009472845,0.00001285955,0.0006602488,0.00001817917,0.0003482619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07343376,"threshold_uncertainty_score":0.1460127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436457349115956,"score_gpt":0.2558521956434123,"score_spread":0.2214876221522527,"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."}}