Stable isotope tree-ring records (Tungsten, Northwest Territories, Canada) 1900- 2003
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".