Fulton's Condition Factor: Is it a Valid Measure of Sea Lice Impact on Juvenile Salmon?
Bibliographic record
Abstract
Abstract Condition factor formulas have been developed and are used to assist in assessing the state of fish health. Fulton's condition factor has been used to measure anthropogenic impacts on fish, such as oil spills, and has provided results that, at times, are contentious. Recently, it has been used to suggest that infestation rates of sea lice Lepeophtheirus salmonis currently reported for juvenile pink salmon Oncorhynchus gorbuscha and chum salmon O. keta in the Broughton archipelago, British Columbia, may have no impact on fish health. Here, we show that Fulton's condition factor values will remain high in salmon fry lethally infected with sea lice until shortly before death. Furthermore, we report that as condition factor values declined, the affected fish exhibited high predator risk behavior. We conclude that Fulton's condition factor does not provide a reliable indicator of the impact of sea lice infestations on juvenile pink and chum salmon.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".