Wild Atlantic cod sperm motility is negatively affected by ovarian fluid of farmed females
Bibliographic record
Abstract
Atlantic cod escape from fish farms at higher rates than commonly cultured marine species, and escapees have been observed to interact with wild fish in mating aggregations. Previous research suggests that potential interbreeding is mediated largely by the likelihood of wild males spawning with escaped females, and as such, the egg and ovarian fluid characteristics of these females could affect fertilization success and the likelihood of hybridization. Farmed cod have been noted to have poor egg quality compared to wild individuals, and some of this difference may be due to the ovarian fluid, which can affect key sperm-motility parameters related to fertilization success. We tested the hypothesis that the ovarian fluid of farmed females negatively affects the sperm performance of wild males. Sperm-motility parameters and fertilization capacity of wild male sperm were analyzed in the presence of both farmed and wild female ovarian fluid. Sperm performed similarly in the presence of wild female ovarian fluid and a seawater control. Ovarian fluid of farmed females negatively affected sperm swimming and the capacity to fertilize eggs. These differences may be related to nutritional deficiencies of farmed individuals. Although it has been demonstrated that wild males actively court farmed females, our results indicate that their ovarian fluid quality can inhibit fertilization success.
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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 | 0.000 | 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".