Distribution and habitat characteristics of Tubifex tubifex, intermediate host of whirling disease, in Banff National Park
Bibliographic record
Abstract
Whirling Disease was discovered in Canada for the first time in 2016, at Johnson Lake, Banff National Park. The disease is caused by the parasite Myxobolus cerebralis and has caused major declines in trout populations in the United States. The presence of whirling disease in Banff National Park could be detrimental to the recovery of the two native trout species, which are both listed as threatened. The parasite affects salmonid fish, but also requires a second obligate host, the oligochaete, Tubifex tubifex. The presence and distribution of T. tubifex in a waterbody are important factors to predict where M. cerebralis may spread. Occupancy modelling was tested as a method for surveying the distribution of T. tubifex at the site of first detection, Johnson Lake. T. tubifex were present, though had a patchy distribution with low detection probability. High inorganic carbon concentration in the lake sediment was negatively associated with T. tubifex presence. Two watersheds within Banff National Park were also surveyed, zero T. tubifex were found within the Cascade watershed, while T. tubifex had a patchy distribution within the Spray watershed. Habitat covariates were tested using General Linear Models, and T. tubifex were found to be significantly associated with low landscape level slope, and a small contributing area. These results suggest that the presence of T. tubifex is not ubiquitous in waterbodies in the region and understanding habitat could help discover areas with T. tubifex presence.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".