{"id":"W2846056831","doi":"10.1080/16000870.2018.1481688","title":"Recent subsurface North Atlantic cooling trend in context of Atlantic decadal-to-multidecadal variability","year":2018,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Atlantic multidecadal oscillation; Ocean gyre; North Atlantic oscillation; Atlantic Equatorial mode; North Atlantic Deep Water; Climatology; Ocean heat content; Context (archaeology); Atlantic hurricane; Gulf Stream; Sea surface temperature; Oceanography; Pacific decadal oscillation; Thermohaline circulation; Geology; Environmental science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001337822,0.0002681295,0.0005260645,0.0002125968,0.0001399589,0.00001170429,0.0002882805,0.0001983597,0.0004571445],"category_scores_gemma":[0.0001874459,0.0002456793,0.00009686874,0.0009387268,0.001060897,0.0001153507,0.0002616914,0.0002402696,0.00003160832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006143896,"about_ca_system_score_gemma":0.00001864059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008965311,"about_ca_topic_score_gemma":0.05255592,"domain_scores_codex":[0.997541,0.0003526399,0.0006285065,0.0007075155,0.0002090728,0.0005613316],"domain_scores_gemma":[0.998662,0.0005028282,0.0001518535,0.0004634616,0.00002626015,0.0001935953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004399245,0.0002080061,0.992564,0.00003038029,0.00003315601,0.000006056044,0.001577482,0.0006603083,0.001641384,0.0001741012,0.0000411371,0.002624095],"study_design_scores_gemma":[0.001423646,0.0006324623,0.924441,0.00003330947,0.00009529218,0.00002995583,0.0002173736,0.06879502,0.0001874879,0.001920256,0.001764562,0.0004596879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975694,0.00007943274,0.001119648,0.0002049395,0.00015798,0.0004483404,0.00003229447,0.00004060579,0.0003473216],"genre_scores_gemma":[0.9974824,0.0003165636,0.001809449,0.0003141834,0.00001242759,0.000008925878,0.00003164576,0.0000155462,0.000008853463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06813471,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219272394736107,"score_gpt":0.2411764415283555,"score_spread":0.2289837175809945,"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."}}