Variation in neutral and polar lipid compositions of ova in ten reproductively isolated populations of walleye (<i>Sander vitreus</i>)
Bibliographic record
Abstract
We examined variation in the mass and composition of egg lipids within and among 10 walleye (Sander vitreus) populations. Larger eggs contained more lipid, but neither absolute lipid content (mg·egg1) nor relative lipid content (percent of egg mass as lipid) were related to maternal age or size. Among populations, the proportion of egg mass as neutral lipid varied significantly, whereas the proportion as polar lipid did not. Egg fatty acid composition did vary with respect to maternal traits. In the Lake Ontario population, larger females appear to produce a qualitatively superior egg; relative abundances of docosahexaenoic acid (22:6(n3), DHA) and arachidonic acid (20:4(n6), AA) increased, and the relative abundance of eicosapentaenoic acid (20:5(n3), EPA) decreased in egg fatty acids with increasing maternal length. We predicted that fatty acid profiles would be less variable in the polar than in the neutral lipid fraction. Relative abundances of DHA, AA, the sum of AA and EPA, and several other fatty acid classes were all significantly less variable in the polar than in the neutral fraction both among females and among populations. Our results indicate a high level of conservatism of egg lipid mass and polar lipid composition in this species.
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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 | 0.001 | 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) | 0.000 | 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".