Ectoparasitism of rodent hosts in Algonquin Provincial Park, Ontario, Canada: Infestation patterns, host glucocorticoids, and species co-occurrence
Bibliographic record
Abstract
Examining multiple parasite taxa across host species presents an opportunity to assess the \nbiology of host-parasite systems. This study investigated: 1) factors associated with ectoparasite \nprevalence on deer mice (Peromyscus maniculatus), southern red-backed voles (Myodes \ngapperi) and woodland jumping mice (Napaeozapus insignus); 2) relationship between \nectoparasites and glucocorticoid levels of deer mice, and; 3) whether ectoparasites of deer mice \nand North American red squirrels (Tamiasciurus hudsonicus) form structured assemblages. I \nexamined data from fleas, mites, and botflies on these hosts in Algonquin Provincial Park, \nOntario, Canada. Ectoparasite prevalence varied with host traits and date. Ectoparasites had no \nrelationship with deer mouse glucocorticoid production. Lastly, ectoparasites of deer mice, but \nnot red squirrels, had exhibited non-random co-occurrence patterns. Parasites play an important \nrole in population regulation and thus, these findings provide a better understanding on the effect \nof ectoparasites on their hosts, on each other, and consequently on their ecosystem.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".