Sperm depletion and a test of the phenotype-linked fertility hypothesis in Gray Treefrogs (<i>Hyla versicolor</i>)
Bibliographic record
Abstract
The phenotype-linked fertility hypothesis (PLFH) predicts that ejaculate characteristics correlate with male phenotype, and that females may select for exaggerated phenotypes to guarantee high fertilization success. Female Gray Treefrogs ( Hyla versicolor LeConte, 1825) prefer males with long-duration calls and (or) calls produced at a fast rate. I tested the prediction that call duration or call rate were indicators of sperm number or viability. To assess whether female H. versicolor might benefit by identifying males with low sperm numbers, I examined the effect of mating history on sperm number and looked for evidence of sperm depletion. My study found no support for the PLFH in relation to call quality, as neither sperm number nor viability was related to call duration. I found that sperm stores are severely reduced after a single mating, and that sperm stores of males calling late in the season are often more similar to those of depleted males than unmated males. Thus, calling males may attempt to attract females without the sperm numbers necessary to fertilize the entire clutch. However, selection for females to identify males with high fertilization success may be low when all other factors that affect reproductive success (e.g., genetic benefits) are considered.
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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 | 0.000 |
| 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".