{"id":"W3087162689","doi":"10.5194/os-16-1067-2020","title":"Can the boundary profiles at 26° N be used to extract buoyancy-forced Atlantic Meridional Overturning Circulation signals?","year":2020,"lang":"en","type":"article","venue":"Ocean science","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; University of Reading; National Centre for Earth Observation; Natural Environment Research Council; Sight Research UK","keywords":"Ocean gyre; Geology; Buoyancy; Boundary current; Climatology; Thermohaline circulation; Forcing (mathematics); Atlantic Equatorial mode; Geostrophic wind; Oceanography; Equator; Shutdown of thermohaline circulation; Empirical orthogonal functions; Ocean current; North Atlantic Deep Water; Zonal and meridional; Ocean general circulation model; Latitude; Climate change; Geodesy; General Circulation Model; Subtropics; Mechanics; Physics","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":[0.0001784332,0.0002003525,0.0001422361,0.0003725089,0.0001557691,0.000285108,0.0001621797,0.0002194985,0.000575507],"category_scores_gemma":[0.0006829659,0.0001131404,0.0001818058,0.0003530517,0.000109882,0.0002838165,0.0001957641,0.0001819701,0.0002019305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510553,"about_ca_system_score_gemma":0.0002392241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009327476,"about_ca_topic_score_gemma":0.01443669,"domain_scores_codex":[0.9999586,0.00000757684,0.000002326277,0.00001472628,0.000008859625,0.000007840545],"domain_scores_gemma":[0.9998472,0.00003083388,0.00004189718,0.00002133288,0.00003208342,0.00002657071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007740028,0.0001850633,0.603411,0.00008068602,0.0001127382,0.0002195414,0.0002113922,0.03108445,0.2810419,0.000636423,0.0008448185,0.08139802],"study_design_scores_gemma":[0.00002171277,0.00007447678,0.7732369,0.0000175748,0.0000301214,0.00004414577,0.000138596,0.2043468,0.0208596,0.0003305317,0.0008743819,0.00002501793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909236,0.00004467903,0.007607795,0.00001768321,0.000011894,0.000008202826,0.0005604297,0.0001067381,0.0007188751],"genre_scores_gemma":[0.9925668,0.00003304369,0.006586192,0.000007916959,0.000003944362,0.000008491131,0.0006244652,0.00001663127,0.0001526623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009327476,"threshold_uncertainty_score":0.01854634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280584326497841,"score_gpt":0.2604956913486363,"score_spread":0.2176898480836578,"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."}}