Relationship between ontogenetic changes in foraging ecology and muscle lactate dehydrogenase activity in wild smallmouth bass (<i>Micropterus dolomieu</i>)
Bibliographic record
Abstract
The activity of muscle glycolytic enzymes scales positively with body size in active fish, a phenomenon thought to counter the increased costs of burst swimming faced by larger individuals. Recent work argued that changes in these enzymes during ontogeny additionally reflect changes in foraging ecology. Here, we evaluated the relationship between muscle anaerobic metabolism and foraging ecology in a population of wild smallmouth bass (Micropterus dolomieu) by relating activity of muscle lactate dehydrogenase (LDH) to estimates of trophic position and habitat use obtained from stable isotope signatures. As expected, LDH activity increased with body size. However, further analysis showed associations between foraging ecology and LDH activity. Specifically, a shift to higher trophic position, indicating a change in diet, was paralleled by a shift to increased LDH activity. However, a steady mass-specific decrease in LDH activity was observed as the fish grew above the size associated with this diet shift. Further, lower LDH activity was associated with increasing use of littoral carbon sources. These findings contribute to our understanding of how plasticity in muscle anaerobic potential is associated with fish foraging ecology.
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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".