Change in stable nitrogen isotope ratio in the muscle tissue of a migratory goby, <i>Rhinogobius</i> sp., in a natural setting
Bibliographic record
Abstract
Time lags associated with changes in stable isotope ratios are essential information for quantitatively analyzing shifts of food habits and habitats. To investigate time lags associated with fish growth in a natural setting, we monitored the change in δ 15 N in the muscle tissue of a fluviallacustrine amphidromous goby, Rhinogobius sp. (the orange form), in the Lake Biwa water system. Because δ 15 N is distinct between lacustrine and fluvial ecosystems, the δ 15 N of age-0+ fish drastically decreased after their upstream migration from the lake. About 80% of the change in δ 15 N was attributed to growth. Nitrogen was replaced at the rate of 520%·month 1 by metabolic turnover. The half-change period for δ 15 N was estimated as being longer than 1 month with the contribution of growth and metabolic turnover in the field. These results from the field show that growth is primarily responsible for isotopic changes in fish muscle and highlight the need to examine the role of metabolic turnover using slow-growing fish.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".