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Record W19421744 · doi:10.1007/s00216-009-2809-6

The last interglacial in the northern North Atlantic and adjacent areas: evidence for a more zonal climate than during the Holocene

2011· article· en· W19421744 on OpenAlexaff
Anne de Vernal, Claude Hillaire‐Marcel, Bianca Fréchette, Nicolas Van Nieuwenhove, Henning A. Bauch, Frédérique Eynaud

Bibliographic record

VenueThe EGU General Assembly · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsGeologyOceanographyHoloceneInterglacialArcticDinocystMarine isotope stageNorth Atlantic Deep WaterHolocene climatic optimumSea surface temperatureClimatologyGlacial periodThermohaline circulationPaleontologyPalynologyPollen

Abstract

fetched live from OpenAlex

The knowledge of copper (Cu) distribution in blood contributes to a better understanding of copper metabolism and to a better approach and follow up of related diseases such as Wilson's disease (WD). Many tests can be used to investigate patients who may have WD but they show many drawbacks and do not allow real patient monitoring. Knowing that the Cu overload can result from the free and easily exchangeable form of copper in plasma, a two-step method (ultrafiltration-determination by ETAAS) was carried out to determine these two fractions. The ultrafiltration procedure and the instrumental determination showed good repeatability, and a very low limit of detection was obtained (0.7 nmol/L). In vitro stability of both ultrafiltrable copper (CuUF) and exchangeable copper (CuEXC) was studied. Plasma was ultrafiltered in 44 presumably healthy subjects to determine CuUF and CuEXC and to set reference values ranges. The method was applied on a few patients showing good correlation between both parameters and the clinical and biological features of the patients.

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 score0.230
Threshold uncertainty score0.902

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.048
GPT teacher head0.270
Teacher spread0.222 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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