Macrolichen and Calicioid Flora of Forillon National Park, Quebec, Canada: The Big and Little Lichens and their Associates
Bibliographic record
Abstract
The lichen biota of North America is poorly documented in many areas, including many of Canada's national parks. For example, Forillon National Park in Quebec, Canada had no previously published accounts of its lichen biota. Therefore, we conducted a comprehensive survey of macrolichens and calicioid lichens and fungi in the park to establish a baseline species list. We discovered 170 taxa in the park (169 species and two subspecies in 48 genera). One species,Melanohalea exasperata, is a first record for Canada; three species,Calicium denigratum,Sclerophora coniophaea, andScytinium teretiusculum, are new provincial records; two species;Chaenothecopsis oreganaandParmelia fertilis, have notable range extensions; and one species,Sclerophora peronella, is listed as 'special concern' under Schedule 1 of the Canadian Species at Risk Act. We present annotated checklists and identification keys to the macrolichen and calicioid species of Forillon National Park.
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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".