New and Interesting Lichens from Kejimkujik National Park and National Historic Site, Nova Scotia, Canada
Bibliographic record
Abstract
A lichen monitoring program was implemented at Kejimkujik in 2006.At that time, lichens were collected in plots that were established for the monitoring program.These collections were added to all known lichen collections in the park and a provisional lichen list was developed.The monitoring program at Kejimkujik requires an assessment every five years; therefore, the second round of monitoring occurred in 2011.To increase the statistical power of the initial monitoring program six new plots were added to the original six, which led to the discovery of additional lichen species.New records for lichen species previously unreported in the park were also made outside of the study plots.Fifty-three new species were indentified in 2011, which brings the total number of known lichen species in Kejimkujik to 238 in 103 genera.Two of the new lichens discovered are listed by the Committee on the Status of Endangered Wildlife in Canada as species at risk, Erioderma mollissimum (endangered) and Degelia plumbea (special concern).One of the new species discovered is provincially red-ranked (at risk in Nova Scotia), which brings the total number of provincially red-ranked species known in the park to two: E mollissimum and Xanthoparmelia mougeotii.Three of the new species discovered are provincially yellowranked (sensitive to disturbance), which increases the known yellow-ranked species in the park to nine: Anzia colpodes, Cladonia stygia, Leptogium corticola, L. milligranum, L. subtile, Physconia detersa, Sticta fuliginosa, Usnea cavernosa and U. mutabilis.
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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 | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".