Macrofungi of Brant County, Norfolk County, and Waterloo Region, Ontario
Bibliographic record
Abstract
In Ontario, baseline knowledge of the diversity and biogeography of macrofungi is lacking compared to other taxonomic groups such as vascular plants and vertebrates. In 2023 and 2024, I completed an inventory of the macrofungi of three municipalities in Ontario’s Carolinian Zone using a combination of historical data, field surveys, and citizen science. Over 9,000 occurrence records of macrofungi were gathered from various sources, including over 1,000 specimens and photo vouchers collected through field work. The internal transcribed spacer (ITS) region – the molecular barcode for fungi – was generated for 164 specimens. A total of 1,040 taxa were identified, including six species not previously known from Canada, 36 species considered to be provincially, nationally, or globally threatened, and 136 regionally rare species. At least nine species are identified as restricted to the Carolinian Zone in Canada. The resulting annotated checklist is the first municipality-level inventory of macrofungi in Ontario.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 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) | 0.004 | 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".