{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009161701,0.0003997685,0.0002492311,0.0002785505,0.0001936774,0.0004987053,0.0003519425,0.0004233977,0.0004754914],"category_scores_gemma":[0.003441741,0.0002731143,0.0003067246,0.0001905294,0.0001087161,0.0006083609,0.0003930835,0.0004073754,0.0001291005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492822,"about_ca_system_score_gemma":0.0004624065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01500851,"about_ca_topic_score_gemma":0.01989611,"domain_scores_codex":[0.9998649,0.00003640779,0.0000115279,0.0000459963,0.00002052563,0.00002054116],"domain_scores_gemma":[0.9983683,0.0007838748,0.0003023296,0.0002383743,0.0001925198,0.0001146045],"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":[0.0002552653,0.0001266391,0.3068489,0.00002671442,0.0001841399,0.0000791264,0.00006720502,0.6731215,0.003253029,0.0003308374,0.000374195,0.01533236],"study_design_scores_gemma":[0.00001827839,0.0001107012,0.06652793,0.000007067865,0.00002247103,0.00001901808,0.00001912372,0.9310834,0.001712311,0.0002300512,0.0002323231,0.00001740149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960324,0.00004018612,0.003119955,0.00003716679,0.000009276443,0.000004955756,0.0003589166,0.00007733382,0.0003197042],"genre_scores_gemma":[0.9975964,0.00002876636,0.001636544,0.000007029292,0.000004576255,0.000005110228,0.0006128833,0.000006856539,0.0001018449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01500851,"threshold_uncertainty_score":0.02984232,"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."}}