Skeletal muscle lipids in Weddell seals (Leptonychotes weddellii): Differences in age class and possible response to resource limitations
Bibliographic record
Abstract
In this study, we investigated the intramuscular triglyceride (IMTG) profiles and oxidative metabolism substrates of a deep diving mammal, the Weddell seal. We sampled pups (4–6 wks), juveniles (12–15 mo) and non‐lactating adults (< 15 mo) and tested for age‐class, gender and yearly differences. No gender differences were observed in IMTG or oxidative metabolism substrates. While pup (6g/100g) muscles had consistently three times the IMTG stores than juveniles (2g/100g), no differences were observed between yearly IMTG stores. Also, no yearly differences were found in oxidative metabolism substrates (lipoprotein lipase, citrate synthase, lactate dehydrogenase) among age classes. However, the IMTG stores of 2006 sampled adults (2g/100g) decreased 550% from 2005 to levels (11g/100g). This finding appears to correlate with the receding ice coverage in the McMurdo Sound area and its impact on the population density of adults (increase of 62% in 2006). Assuming breeding aged or lacatating females had similar IMTG values implies these adult animals may be faced with a physiological bottleneck similar to that of juveniles. These data suggest that population density of Weddell seals which may be directly impacted by climate change will have dramatic effects on their reproductive 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 | 0.001 | 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".