A comparison of macrolichen species richness and frequency between the oak savanah and boreal woods habitats on Lake of the Woods Islands in Kenora, Ontario, Canada
Bibliographic record
Abstract
This comparative lichen study was completed in the northwest area of Ontario, where Lake of the Woods is located. A systematic lichen floral study has never been done in this area. It started with beauty and wonder observing Xanthoria parietina, beautiful orange lichens, on the vertical rock surfaces along the lake channels and wondering about their distribution. This led me to Dr. Michele Piercey-Normore, a lichenologist at the University of Manitoba, to help design a study and to Irwin Brodo's Lichens of North America. Plots along transects were used to compare boreal and oak habitats. Lichens were collected and identified using dichotomous keys and thin-layer chromatography. The boreal habitat had a lichen frequency twice as large as in the oak habitat. The species diversity was similar for both the habitat types and the number of unique lichens collected. The species richness was larger for the boreal habitat when compared to the oak habitat.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".