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Record W2102453364 · doi:10.1029/2009gl039818

Quantifying biological carbon export for the northwest North Atlantic continental shelves

2009· article· en· W2102453364 on OpenAlexaff
Katja Fennel, John Wilkin

Bibliographic record

VenueGeophysical Research Letters · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsDalhousie University
Fundersnot available
KeywordsContinental shelfBiogeochemical cycleContinental marginOceanographyAdvectionBiological pumpEnvironmental scienceCarbon cycleTotal organic carbonGeologyEcosystemEcologyBiologyPaleontology

Abstract

fetched live from OpenAlex

It has been suggested that continental shelf systems contribute disproportionately to the oceanic uptake of atmospheric CO 2 , but the magnitude of this flux and the relative contributions of different underlying mechanisms are poorly quantified. A biological continental shelf pump mechanism has been implied; however, the magnitude of this export depends on advective transport of carbon‐rich water off the shelf, a process that is difficult to observe directly. Here we use a physical‐biogeochemical model for the northeastern North American continental margin to estimate the uptake of atmospheric CO 2 , the fraction of this uptake that results from biological processes, and the transport of organic carbon off the shelf. Our results suggest that there is no systematic difference in the area‐normalized CO 2 uptake between the shelf regions and the adjacent deep ocean. The advective transport of carbon‐rich water off the shelf is insufficient to drive a Continental Shelf Pump in this region.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.033
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.293
Teacher spread0.223 · 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 teacher head, 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

Citations77
Published2009
Admission routes1
Has abstractyes

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