Investigation of an introduced subtropical alga (Lyngbya wollei) in Whiteshell Provincial Park, Manitoba
Bibliographic record
Abstract
Nuisance growth of a filamentous cyanobacterium, Lyngbya wollei, was studied in lakes of Whiteshell Provincial Park in eastern Manitoba. Its increasing abundance in two lakes, White and Betula over the last half dozen years has heightened awareness and concern by cottagers and recreational users that nearby lakes may become infested. L. wollei is typically found in the southeastern United States, and this is the only known occurrence in Canada. Desiccation experiments used to assess the ability of L. wollei to survive inter-lake transfer on recreational watercraft showed it can remain viable after short-term drying and stagnant conditions. Comparisons of lake basin morphology, land use, water and sediment chemistry of the infested lakes to those of other Whiteshell lakes showed that all lakes with shallow littoral areas and a photic depth greater than two and a half meters possess potential L. wollei habitat. Intensively used lakes such as Falcon, Caddy, Brereton, and Big Whiteshell are most susceptible to L. wollei inoculation. Principle Component Analysis based on water and sediment chemisty identified Jessica, Red Rock, Florence, and Madge Lakes as having the most similar conditions to the infested lakes. Consequently, these lakes may develop the greatest biomass and adverse effects of L. wollei growth. It is imperative that all clothing, footwear and recreational watercraft be cleaned thoroughly after being removed from infested lakes to prevent the further spread of L. wollei in the lakes of Whiteshell Provincial Park.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".