Active feeding of anadromous white-spotted char <i>Salvelinus leucomaenis</i> at the southern latitudinal rivers
Bibliographic record
Abstract
Although starvation poses a serious risk of death, it is a common phenomenon among anadromous salmonids that fast after returning to the river following oceanic feeding migration. To address the effects of geographic environmental factors on their feeding, we examined the river feeding patterns and condition of sea-run migrants of white-spotted char ( Salvelinus leucomaenis) in rivers with latitudinal variation from 38°N to 46°N along the Sea of Japan. The river feeding patterns showed a significant latitudinal trend: char were observed to feed at lower latitudes and fast at higher latitudes. In contrast, the condition factor did not exhibit any latitudinal trends. These findings suggest that the environmental conditions encountered by individuals prior to and after river entry may influence their river feeding. Active feeding by the southern sea-run migrant char may be an adaptive strategy to maintain their body condition in response to the local conditions. This study highlights the importance of rivers not only as spawning and growth habitats for juveniles, but also as feeding habitats for certain anadromous salmonids.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".