Bibliographic record
Abstract
Traditional silvicultural practices to regenerate quaking aspen (Populus tremuloides) focus on inducing asexual suckering, but these methods can reduce genetic diversity over time and are limited to existing stands. Planting of nursery-grown aspen seedlings for restoration has proven effective in mined-land reclamation in the boreal forests of Canada, but protocols have yet to be developed for the western US where seedling establishment may be more challenging. Here, results from an ongoing study testing seedling-based aspen restoration in southern Utah will be discussed. Survival during the first two years varied substantially between planting locations, and mortality was dominated by rodent herbivory and early summer drought. Additionally, uneven responses among seedling sources in the nursery suggest further protocol optimization will be necessary for western US aspen. Despite these initial challenges, further refinement of seedling-based aspen restoration techniques in the western US could prove to
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".