Freezing ovarian fluid does not alter how it affects fish sperm swimming performance: creating a cryptic female choice ‘spice rack’ for use in split‐ejaculate experimentation
Bibliographic record
Abstract
Cryptic female choice is often mediated chemically in external fertilizers by ovarian fluid (OF), which can change sperm swimming performance and bias paternity under sperm competition. Assessing cryptic female choice is hindered by the necessity of using fresh gametes and the short time window available to obtain diverse samples from wild animals. Using split-ejaculate experimental designs and samples from lake trout, brown trout and Atlantic salmon, we evaluated whether freezing OF alters the way in which it modifies sperm swimming. Sperm had improved swimming performance in the presence of OF over plain water, and the effect did not depend on whether the OF had previously been frozen. Freezing OF does not seem to alter the way it influences sperm. This allows the researcher to create a 'spice rack' of OF samples that can be used in studies on cryptic female choice, and opens up the possibility to compare animals mating under large spatial and temporal variability.
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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 | 0.000 | 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 | 0.001 |
| 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 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".