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Effects of Mesoscale Eddies on Southern Ocean Biogeochemistry

2024· preprint· en· W4402042594 on OpenAlexaff
Lydia Keppler, Yassir A. Eddebbar, Sarah T. Gille, Nicola Guisewhite, Matthew R. Mazloff, Veronica Tamsitt, Ariane Verdy, Lynne D. Talley

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsInternational Submarine Engineering (Canada)
FundersOffice of Polar ProgramsNational Aeronautics and Space AdministrationDivision of Polar ProgramsNational Oceanic and Atmospheric AdministrationNational Science Foundation
KeywordsEddyAnticycloneOceanographyBiogeochemistryMesoscale meteorologyGeologyClimatologyGeographyMeteorologyTurbulence

Abstract

fetched live from OpenAlex

• Cyclonic eddies pump DIC and nitrate upwards leading to less oceanic carbon uptake, and anticyclonic eddies have the opposite impact • Cyclonic eddies pump low-oxygen water upwards (anticyclones opposite) and eddy trapping leads to opposite anomalies at depth • The net anomalous eddy-induced Southern Ocean carbon uptake is ∼0.02±0.02 Pg C yr −1 , with larger signals seasonally and regionally

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.186
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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