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Record W2996396696 · doi:10.82308/34551

Freshwater and oxygen transport across the Labrador shelf-break: insights from gliders

2015· article· en· W2996396696 on OpenAlexaboutno aff
Tara Howatt

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyFisheryBiologyGeology

Abstract

fetched live from OpenAlex

Transport of freshwater from the Labrador Shelf into the interior Labrador Sea has the potential to influence deep convection by controlling the salinity of surface waters. To examine this transport, we deployed two deep underwater gliders that traversed the continental shelf-break multiple times between July 5 and August 22, 2014. The field campaign yielded a unique data set of temperature, salinity and oxygen across the shelf-break at unprecedented spatial resolution. Two mechanisms of cross-shelf transport were examined: Ekman transport and transport due to mesoscale eddies. Ekman transport is quantified using satellite wind stress, and eddy induced transport is scaled using thickness gradients of layers of uniform potential density. Results show that both the Ekman and eddy terms in the mass budget transport water from the shelf to the Labrador Sea during summer. The offshore transport of freshwater in this study region represents about 1% of the total freshwater flowing through Hudson and Davis Straits and likely represents a seasonal maximum. Oxygen transport convergence across the 500 m isobath is about 170% of a previous estimate of Net Community Production in the interior Labrador Sea, suggesting that the assumption of negligible lateral fluxes should be made with caution.

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)0.000
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 score0.920
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.205
Teacher spread0.190 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueeScholarship@McGill (McGill)→Same topicArctic and Antarctic ice dynamics→French-language works237,207→