{"id":"W2134723329","doi":"10.1002/jgrc.20117","title":"Predicting multiyear North Atlantic Ocean variability","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ocean gyre; Ocean heat content; Thermohaline circulation; Climatology; Oceanography; Initialization; Atlantic multidecadal oscillation; Environmental science; North Atlantic Deep Water; Ocean current; Shutdown of thermohaline circulation; Sea surface temperature; North Atlantic oscillation; Ocean dynamics; Geology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002778677,0.0001339057,0.000278903,0.00007197381,0.0002331244,0.00009790902,0.0005773504,0.00007507091,0.002067944],"category_scores_gemma":[0.001998117,0.0001004611,0.0001752599,0.0003991864,0.0004783777,0.0006695556,0.00041756,0.001011231,0.000923346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002772128,"about_ca_system_score_gemma":0.00006552564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194156,"about_ca_topic_score_gemma":0.00009597568,"domain_scores_codex":[0.9966517,0.0005016582,0.0005172703,0.0002850713,0.001408109,0.0006361997],"domain_scores_gemma":[0.9975677,0.001258286,0.0001470126,0.0003649925,0.000211357,0.0004506984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006990841,0.000753659,0.9880848,0.00002819552,0.00002676945,0.00001995755,0.000707943,0.0009267046,0.0025353,0.0001917106,0.004783858,0.00187121],"study_design_scores_gemma":[0.0004991708,0.0006703574,0.9395071,0.0000364954,0.00001790465,0.00001976141,0.0001540935,0.04483129,0.00008416939,0.01270961,0.001307653,0.0001623875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961066,0.000002747553,0.0002999035,0.0008349224,0.0000966942,0.000281267,0.000004928131,0.00001587742,0.002357102],"genre_scores_gemma":[0.9986345,0.00002422229,0.0007153017,0.00005447221,0.0002588577,0.000002347529,0.000001869624,0.00001481112,0.0002936589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04857767,"threshold_uncertainty_score":0.9998546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03749474703544624,"score_gpt":0.3070119957667224,"score_spread":0.2695172487312762,"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."}}