Assessing the Potential of Maximum Tree-ring Density in Developing Divergence-free White Spruce Chronologies, Northwest Territories, Canada
Bibliographic record
Abstract
Tree cores were collected from white spruce at two study locations near Inuvik, Northwest Territories to evaluate the climate sensitivity of ring-width and maximum density indices.Over 200 trees were sampled to develop four ring-width chronologies dating back as far as 1025 CE and two density chronologies spanning 1321 to 2012 CE and 1383 to 2012 CE, respectively.The chronologies originating from the Campbell Dolomite Uplands are responsive to local precipitation and temperature.The chronologies from Husky Lakes are sensitive to growing season temperatures.The ringwidth chronologies at both study locations are weakly and inconsistently correlated with growing season conditions between 1910 and 2009.The density chronologies are consistently correlated to temperature variables at Husky Lakes, and show no evidence of the divergence issue noted in previous ring width studies from this region.These results support the use of maximum density as a temperature proxy throughout the 21 st century.very productive Skype chats.You opened the door to so many opportunities in field work and travel and I thank you.I also want to thank Dr.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 0.000 |
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.
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".