Seed availability and recruitment of the perennial herb <i>Sanicula europaea</i><sup>1</sup>
Bibliographic record
Abstract
Dispersal ability is an important determinant of plant distribution and a key factor in predicting effects of habitat fragmentation. In recent years, dispersal limitation has been demonstrated empirically by seed-sowing experiments for a number of plant species. However, these studies have been criticized for dealing with only the first stages of colonization and for not being replicated over several years. In this study we present data from transplantation experiments with seeds and established plants of the perennial herb Sanicula europaea L. Experiments were carried out in several years and at sites with and without natural occurrence of the species. We also examined the effect of vegetation removal on seedling recruitment. Sanicula europaea germinated at several previously unoccupied sites, but our results provide no evidence that the distribution of S. europaea is dispersal limited. Moreover, unlike studies on several other species, there was no evidence that existing vegetation limits recruitment.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".