Analyse des relations entre le climat et les séries temporelles de densité de cerne
Bibliographic record
Abstract
In the framework of the ARCHIVES project, we produced several chronologies of tree-ring density, in addition to the tree-ring widths, tree-ring isotopes and varved sediments temporal series. In the literature tree-ring maximum density is indeed considered as a very good indicator of temperature. The paleoclimatic potential of 38 tree-ring minimal density chronologies and 38 tree-ring maximum density chronologies was analyzed. While the potential of minimum density is fairly low in terms of climate reconstructions, the potential of maximum density is very good in terms of summer temperature reconstruction. However, several chronologies have revealed a decrease in the density to climate relationship since the late 60s. This decrease is interpreted as a climate divergence phenomenon, as previously suggested in the literature. Thus, the use of tree-ring maximum density chronologies in climate reconstructions must take into account this phenomenon.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".