{"id":"W2070936804","doi":"10.1175/jcli3654.1","title":"Interannual to Decadal Climate Predictability in the North Atlantic: A Multimodel-Ensemble Study","year":2006,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":183,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"University of Reading; Natural Environment Research Council; Sight Research UK","keywords":"Predictability; Climatology; Environmental science; Climate model; General Circulation Model; Ocean current; Sea surface temperature; Climate change; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002911477,0.0001946413,0.0003658744,0.00008605172,0.0001426445,0.00008562052,0.0005687141,0.00005390262,0.0002262266],"category_scores_gemma":[0.00009701211,0.0001266436,0.0001433759,0.0003587977,0.0000830352,0.0004127001,0.0002979652,0.0003597072,0.00008316009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001787455,"about_ca_system_score_gemma":0.00001654121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024328,"about_ca_topic_score_gemma":0.01473423,"domain_scores_codex":[0.9971931,0.0003244327,0.00100932,0.0002784403,0.0006583823,0.0005363125],"domain_scores_gemma":[0.998959,0.0002471644,0.0002773664,0.0003661778,0.00003902928,0.0001112413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003284503,0.001400689,0.9408687,0.0000136277,0.000007326415,0.00006565315,0.003467678,0.05280367,0.0003336387,0.00003886861,0.000203656,0.0004680198],"study_design_scores_gemma":[0.001172019,0.0006320858,0.9890159,0.00003165096,0.00004396816,0.00007168934,0.001136151,0.006854777,0.00001858811,0.0003079397,0.0005517583,0.0001634314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961341,0.000007728278,0.0003991857,0.0004481834,0.0001637672,0.0005667968,0.00003383961,0.00001383898,0.002232538],"genre_scores_gemma":[0.998879,0.0000338789,0.0007452503,0.0002176478,0.00008918704,0.00001310221,0.000002804182,0.00001319609,0.000005947214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04814721,"threshold_uncertainty_score":0.8222045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430728964625599,"score_gpt":0.2678470537260054,"score_spread":0.2535397640797494,"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."}}