{"id":"W2021697085","doi":"10.1175/jcli3902.1","title":"Atlantic Climate Variability and Predictability: A CLIVAR Perspective","year":2006,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Predictability; Climatology; Atlantic multidecadal oscillation; Climate change; Environmental science; North Atlantic oscillation; Climate model; Atlantic hurricane; Thermohaline circulation; Tropical Atlantic; Sea surface temperature; Oceanography; Tropical cyclone; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003075317,0.0002011981,0.0004247369,0.0000570823,0.0001843302,0.00007077375,0.0002190383,0.0001127059,0.00110414],"category_scores_gemma":[0.0002862344,0.0001622029,0.0001657659,0.000186427,0.0003779907,0.0005203095,0.0003021629,0.0003033184,0.00004724645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319728,"about_ca_system_score_gemma":0.00002363983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003891333,"about_ca_topic_score_gemma":0.000101397,"domain_scores_codex":[0.997686,0.0002382375,0.0008068078,0.000344675,0.0004361093,0.0004882305],"domain_scores_gemma":[0.998665,0.0003526402,0.0004331535,0.0003118602,0.00007294614,0.0001644187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002876783,0.0005640636,0.9832926,0.000078237,0.00002346447,0.00003246637,0.0005790715,0.001804947,0.002782258,0.009887132,0.0002625851,0.000405483],"study_design_scores_gemma":[0.001827467,0.0005609457,0.9191884,0.00009762258,0.0002420098,0.0004861529,0.0005912553,0.005992754,0.000208147,0.06747007,0.002877795,0.0004573907],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740317,0.0000460859,0.0003198071,0.0007349604,0.0001744243,0.0002008499,0.00003180206,0.00002975559,0.02443055],"genre_scores_gemma":[0.9970698,0.0005130024,0.002152436,0.0000954484,0.0001338117,0.000003368545,0.000002372591,0.00001600809,0.00001373272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06410422,"threshold_uncertainty_score":0.999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008471881691367233,"score_gpt":0.2391471795002326,"score_spread":0.2306752978088654,"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."}}