{"id":"W1506209774","doi":"10.1175/jcli-d-14-00664.1","title":"Does External Forcing Interfere with the AMOC’s Influence on North Atlantic Sea Surface Temperature?","year":2015,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coupled model intercomparison project; Climatology; Forcing (mathematics); Sea surface temperature; Environmental science; Detrended fluctuation analysis; Zonal and meridional; Climate model; Sign (mathematics); Ocean current; Geology; Climate change; Oceanography; Mathematics","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":[0.000825965,0.0001481804,0.0002071834,0.00002109703,0.0001264602,0.0001090711,0.0003695753,0.00004384596,0.00009806686],"category_scores_gemma":[0.00005700319,0.00005987039,0.00006829072,0.0001263693,0.0001422178,0.0004511272,0.0001321427,0.0003788832,0.00006123206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000141761,"about_ca_system_score_gemma":0.00002778804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001275277,"about_ca_topic_score_gemma":0.0007365319,"domain_scores_codex":[0.9986354,0.00009255665,0.0003164846,0.000154552,0.0005180753,0.0002829569],"domain_scores_gemma":[0.9991301,0.0001197897,0.0002987702,0.0002336256,0.00005163494,0.0001661141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004930482,0.00008476544,0.8055035,0.00001671696,0.0000178604,0.00005764045,0.001232497,0.1878642,0.004079585,0.00005672204,0.0004405454,0.0001529516],"study_design_scores_gemma":[0.003330161,0.002623261,0.9697167,0.0009763495,0.0002022781,0.0007417027,0.001756785,0.006720503,0.005588323,0.001481267,0.006064249,0.0007984068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974014,0.00001305824,0.00007245903,0.001313205,0.0001641459,0.0001061093,0.000006494119,0.00001054202,0.0009125542],"genre_scores_gemma":[0.998939,0.00009681348,0.0004116684,0.0004002505,0.00006677172,0.000001030758,7.152731e-7,0.00001221199,0.00007149216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1811437,"threshold_uncertainty_score":0.2441444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269259749671855,"score_gpt":0.235896120132006,"score_spread":0.2232035226352875,"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."}}