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Record W6925879466 · doi:10.18739/a29k45v0m

Stable isotope tree-ring records (Tungsten, Northwest Territories, Canada) 1900- 2003

2021· dataset· en· W6925879466 on OpenAlexaboutno aff

Bibliographic record

VenueUC Santa Barbara · 2021
Typedataset
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsnot available
Fundersnot available
KeywordsStable isotope ratioIsotopes of oxygenPrecipitationIsotopeIsotopes of carbonδ13CGeopotentialIsotopic signature

Abstract

fetched live from OpenAlex

Stable isotope tree-ring records spanning from 1900 to 2003. The isotopic measurements were done using tree-ring samples from a white spruce (Picea glauca [Moench]Voss) forest located at 1145 meters above sea level (m a.s.l) near Tungsten (61.98º North (N); -128-25º West (W)) in the Northwest Territories, Canada. This stable oxygen isotope tree-ring record is mostly related to temperatures variations in spring and summer likely because it reflects the temperature imprint in the stable oxygen isotopes of precipitation. The tree-ring stable oxygen isotope tree-ring record also recorded similar correlation patterns than modeled precipitation delta-O-18 (δ18O) from the National Aeronautics and Space Administration (NASA) Goddard Institute for Space Studies (GISS) ModelE2 isotopically-equipped general circulation model (GCM). However, this shared patterns with significant positive correlations with surface temperature and geopotential height, but no correlations with moisture transport, only occurred in spring and summer when water matters more for trees. Overall, this stable oxygen isotope tree-ring record reflects the same significant large-scale climate patterns as stable oxygen isotopes in spring-summer precipitation and show great potential for reconstructing summer temperature variability and past atmospheric dynamics. The stable isotopes were generated at the Lamont-Doherty Earth Observatory (LDEO) of Columbia University (New York, United State of America (USA)) using the proceedings of cellulose extraction and measurements of stable isotopes described in Andreu-Hayles et al (2019). Andreu-Hayles, L., Levesque, M., Martin-Benito, D., Huang, W., Harris, R., Oelkers, R., Leland, C., Martin-Fernández, J., Anchukaitis, K.J. and Helle, G. (2019) A high yield cellulose extraction system for small whole wood samples and dual measurement of carbon and oxygen stable isotopes. Chemical Geology, 504, 53-65.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.011
GPT teacher head0.222
Teacher spread0.211 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2021
Admission routes1
Has abstractyes

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