Macrolichens of Forillon National Park, Quebec, Canada
Bibliographic record
Abstract
In Canada, detailed knowledge of the macrolichen biota in national parks is surprisingly sparse. Forillon National Park (Forillon) in Quebec, Canada, is an example, with no previously published accounts of lichens. To fill this knowledge gap, we conducted a survey of the macrolichens in the park and reviewed past collections to establish a baseline list of species. We report 140 taxa from Forillon (139 species and 2 subspecies, in 39 genera). Notable species include: Melanohalea exasperata, a first record for Canada; Scytinium teretiusculum, a first record for Quebec; Parmelia fertilis, a northern range extension; Hypogymnia subobscura, a species with an Arctic affinity; and Bryoria salazinica, Cladonia labradorica, and Leptogium acadiense, which are endemic to northeastern North America and infrequently collected. We provide an annotated list of species and an identification key to the macrolichen species of Forillon.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 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) | 0.009 | 0.001 |
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".