Lichens from the Hudson Bay Lowlands: northwestern interior treeline peatlands of Wapusk National Park in Manitoba
Bibliographic record
Abstract
Peatlands, including plateaus, palsas, or polygons, contain a diversity of lichens and bryophytes that dominate northern ecosystems. Studies on the lichen diversity of peatlands in Wapusk National Park on the Hudson Bay Lowlands in Manitoba are rare. The goal of this study was to examine the species diversity of lichen-forming fungi in the northwestern peatlands of Wapusk National Park. Seven locations were sampled in the northwestern portion of the park, including one burned peat polygon, three unburned peat polygons, two peat plateaus, and a peat-covered beach ridge. Eleven species are reported new for the national park. A large number of species had a boreal element, reflecting the presence of the treeline. As expected, the burned peat polygon showed the lowest levels of species similarity with that of other sites. A peat-covered beach ridge also showed low levels of similarity with the other peatlands. The most similar sites were the two peat plateaus. This study also shows species similarity among peatland types. Revegetation of the burned peat polygon was slow and is discussed with reference to park management practices and climate change.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".