Influence des variations interannuelles du climat sur la croissance radiale des épinettes noires
Bibliographic record
Abstract
This study aims at analyzing the relationships between the black spruce (Picea mariana Mill. BSP) radial growth response to climate over a wide territory on the northern Quebec-Labrador peninsula's boreal forest. Firstly, a hierarchical cluster analysis was conducted to detect the affinities among 93 black spruce tree-ring width series. Secondly, linear multiple regression analysis, associated with a bootstrap technique, was used to calculate response functions of the tree-ring series. As a result, spatial affinities among tree-ring series highlight a geographical pattern that can be related to the spatial variability of the tree-ring - climate relationships. Inter-annual growth variations are governed mainly by temperature variables of the preceding growing season: November temperatures have a negative influence, while April has a positive one for among the westernmost trees, as do December-January for the southernmost trees. Growing season temperatures (mainly July temperatures) influence only the northernmost and easternmost populations. The response was spatially interpolated using a kriging technique with an external drift.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".