{"id":"W3153115266","doi":"","title":"The abyssal origins of North Atlantic decadal predictability","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ocean gyre; Predictability; Abyssal zone; Climatology; Geology; Ocean current; Ocean heat content; Oceanography; Climate model; Ocean general circulation model; Advection; Environmental science; Climate change; General Circulation Model; Subtropics; Physics","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":[0.000517956,0.0001885397,0.0001119542,0.000806949,0.0003543994,0.001208851,0.0001986153,0.0001880508,0.00206917],"category_scores_gemma":[0.003024736,0.0001517636,0.0002017561,0.0006734302,0.00040709,0.0006026539,0.0009142077,0.000558519,0.0002757872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006421213,"about_ca_system_score_gemma":0.0003376041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207762,"about_ca_topic_score_gemma":0.008942678,"domain_scores_codex":[0.9999154,0.00001167837,0.000007981919,0.00002931746,0.00002302899,0.00001266051],"domain_scores_gemma":[0.9994276,0.0001581284,0.0001374616,0.00008336126,0.0001431851,0.00005031939],"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":[0.0005754657,0.00006005632,0.6590792,0.0002692063,0.0004537091,0.000715014,0.002838321,0.03736278,0.01270645,0.07493647,0.01022203,0.2007813],"study_design_scores_gemma":[0.00002215567,0.0000443272,0.9247894,0.000126068,0.00007814154,0.0001430709,0.0004245586,0.03089177,0.001419961,0.0204954,0.02151558,0.000049632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394882,0.005679406,0.004888221,0.004011882,0.000242279,0.00000911514,0.002939607,0.0003731321,0.04236806],"genre_scores_gemma":[0.9969235,0.00109398,0.0006429124,0.00007836366,0.00007459563,0.000004206825,0.0004785474,0.00005279675,0.0006509681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01207762,"threshold_uncertainty_score":0.02401465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007871134080289121,"score_gpt":0.1984302345038274,"score_spread":0.1905591004235382,"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."}}