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Record W2252320691 · doi:10.17895/ices.pub.19271756

Extremes of temperature and salinity during the 1990s in the northern Rockall Trough: results from the “Ellett line”

2003· article· en· W2252320691 on OpenAlexaboutno aff
N.P. Holliday

Bibliographic record

VenueePrints Soton (University of Southampton) · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsTrough (economics)GeologyLine (geometry)ClimatologySalinityOceanographyGeodesyGeometryMathematicsEconomics

Abstract

fetched live from OpenAlex

A time-series of deep hydrographic measurements in the northern Rockall Trough is analysed to determine the nature and origin of interannual to decadal variability of water mass properties. The repeat section (Barra Head to Rockall Island) was started in 1975 by David Ellett of Dunstaffnage Marine Laboratory and has been occupied between one and six times per year since then. Both the surface and deep water masses have shown extremes in their properties during the past decade compared to the previous 15 years. The 1990s began with relatively low temperature and salinity in the surface water mass (Eastern North Atlantic central Water, ENAW ), but since 1995 there has been a dramatic increase, culminating in the highest salinity in 1998 and highest temperature in early 2000. In contrast, the deep Labrador Sea Water (LSW) is fresher and cooler in the late 1990s than at any time in the series. The ENAW is subject to local modification by exchange of heat and freshwater with the atmosphere, but the variability is mainly determined by mixing with other water masses at the southern entrance to the Rockall Trough. The LSW is a re-circulating reservoir periodically flushed by newer water from the southwest.Article from Marine Science Symposia Vol. 219 - "Hydrobiological variability in the ICES Area, 1990-1999", symposium held in Edinburgh, 8-10 August 2001. To access the remaining articles please click on the keyword "MSS Vol. 219".

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 score0.059
Threshold uncertainty score0.952

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.195
Teacher spread0.177 · 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

Citations6
Published2003
Admission routes1
Has abstractyes

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