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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".