Bibliographic record
Abstract
This dataset contains phenological observations (stored as numbers from 0-6) of white spruce (3 seed sources), black spruce (1 seed source) and Norway spruce (4 seed sources) buds in spring gathered over 2 years (2016-2017) on trees growing in two plantations that were established in two different blioclimate zones in eastern Canada (the northern temperate forest and the boreal mixedwood forest). For each tree, the terminal bud of all branches belonging to the whorl at breast height were observed weekly. We identified inter- and intraspecies variation in bud break timing and in sensitivity to environmental cues (frost probability, GDD, photoperiod) for each phenological stage. We found that spring frosts and photoperiod control the firsts phenological stages and GDD controls the lasts phenological stages which highlights an important ecological trade-off between the maximizing the growing season length and limit frost damage from too early bud burst.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.039 | 0.056 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.272 |
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; both teacher heads agree on what is shown here.
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".