Ecology of a marine ectoparasite in farmed and wild salmon
Bibliographic record
Abstract
Parasitism can affect every aspect of wildlife ecology, from predator avoidance and competition for food to migrations and reproduction. In the wild, these ecological effects can have implications for host fitness and parasite dynamics. In contrast, domestic environments are typically characterised by high host densities, low host diversity, and veterinary interventions, and are not subject to processes like predation, competition, and migration. When wild and domesticated hosts interact via shared parasite populations, understanding and predicting the outcomes of parasite ecology and evolution for wildlife conservation and sustainable farming can be a challenge. We describe the ecology and evolution of ectoparasitic sea lice that are shared by farmed and wild salmon and the insights that experiments, fieldwork, and mathematical modelling have generated for theory and applied problems of host–parasite interactions over the course of a long-term study in Pacific Canada. The salmon–sea lice host–parasite system provides a rich case study to examine the ecological context of host–parasite interactions and to shed light on the principal challenges of parasite management for wildlife health and conservation.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 0.001 |
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".