Variation in Infections of<i>Myxobolus cerebralis</i>in Field-Exposed Cutthroat and Rainbow Trout in Idaho
Bibliographic record
Abstract
We evaluated the severity and extent of infection by Myxobolus cerebralis in replicated groups of same-age Yellowstone cutthroat trout Oncorhynchus clarki bouvieri and Kamloops rainbow trout O. mykiss exposed to natural river conditions at four sites along a 25-km reach of the South Fork of the Boise River. Groups of fry were each exposed for 10 d in June, July, or August and then removed from the river and reared in specific-pathogen-free water under controlled laboratory conditions for 84 d. At the end of the study, surviving fish were examined for clinical signs of disease, and fish heads were evaluated by histology for the presence of characteristic pathology and then scored for the extent of pathology on a five-point scale. The mean histological scores and percent of fish testing positive in both species were similar within each site but varied across the study sites from no infection in fish at the uppermost site to 90–100% testing positive at the lowermost site. Cutthroat trout with moderate histology scores had significantly higher prevalence of exophthalmia and cranial deformities than did similarly infected rainbow trout. Habitat characteristics such as water temperature and the combined mean abundance of oligochaetes and chironomids were significantly different among the study sites and were positively correlated with the disease severity detected by histology.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".