Bibliographic record
Abstract
In this chapter the effect of climate change on ionoregulation in fishes was discussed. Ionoregulation in fishes is essential for survival and success, and osmoregulatory failure is often observed as a precursor to death. The two main climate change factors that are considered in this chapter are: (i)temperature; and (ii) Carbon dioxide-induced acidification. Also presented in this chapter are reviews of the basic mechanisms of ion regulation in marine and freshwater fishes, acid-base regulation, and their links. Studies on the predicted impacts of higher temperatures and aquatic hypercapnia on ion regulation in fishes were reviewed. In the final part of the chapter the side effects of acid-base regulation on otolith growth and GABAA (γ-aminobutyric acid, type A) receptor-associated behavioural changes were discussed. The chapter ends with some future directions in climate-change-associated research into ion regulation in fishes. Although there is consensus that these changes are occurring; predicting long-term impacts on fish populations is still a work in progress.
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 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 | 0.000 | 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) | 0.004 | 0.002 |
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; both teacher heads agree on what is shown here.
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".