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Record W1575858009

The Middle Eocene Climatic Optimum (MECO) in the high latitudes of the North Atlantic: Temperature and Biotic change

2011· article· en· W1575858009 on OpenAlexaboutno aff
Marcel Polling, Alexander J. P. Houben, J. Firth, Helen K. Coxall, James S Eldrett, Stefan Schouten, Gert‐Jan Reichart, Henk Brinkhuis

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyLatitudeOceanographyClimate changeSea surface temperatureHolocene climatic optimumProxy (statistics)Environmental changePhysical geographyClimatologyGeography
DOInot available

Abstract

fetched live from OpenAlex

Increasingly high resolution isotope- and novel organic geochemical proxy records have revealed that \nthe long-term cooling trend of the middle Eocene was interrupted by a warming phase designated the \nMiddle Eocene Climatic Optimum (MECO). It is suggested to represent an increase in sea surface \ntemperatures of about 4°C, lasting approximately 400 kyr. The temperature evolution of the MECO is \nnotably well-documented in the Southern Ocean. However, records of temperature- and biotic change \nduring the MECO are largely missing from the higher northern latitudes. Here we document on the sea \nsurface temperature evolution during the MECO reconstructed using TEX86 from Ocean Drilling Program \n(ODP) site 647 situated in the Labrador Sea. In addition, organic walled remains of dinoflagellates (i.e. \ndinocysts) were investigated in order to identify environmental change in response to the MECO

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 score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.170
Teacher spread0.135 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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