Correlation Between ATV Tracks and Density of a Rare Plant (<i>Drosera filiformis</i>) in a Nova Scotia Bog
Bibliographic record
Abstract
We examined the distribution of Drosera filiformis (thread-leaved sundew) in one of only five bogs in southern Nova Scotia where it is known to occur in Canada, to verify anecdotal observations that the plant grows most abundantly in water-filled ruts created by all-terrain vehicles (ATVs). The distributions of D. filiformis, ATV tracks, standing water, and a variety of common bog plants were measured using transects of 3 m, 30 m, and > 100 m length. At the > 100 m scale, density of D. filiformis was significantly correlated with ATV tracks and standing water or wet peat. At the 30 m scale, 70.7% of quadrats that intercepted an ATV track also contained one or more individuals of D. filiformis; the species was negatively associated with woody plants, but positively associated with Eriophorum virginicum L. (tawny cotton-grass), which also prefers wet depressions. At the 3 m scale, significantly more D. filiformis were counted within water-filled ATV tracks than on the drier, undisturbed Sphagnum around them. Moderate and dispersed ATV traffic, sufficient to depress the peat layer without displacing the Sphagnum, evidently creates micro-habitat for D. filiformis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".