Temperature effects on the reproductive performance of fish
Bibliographic record
Abstract
Scientists are increasingly being called upon to predict the outcomes of global temperature changes on fish populations. Both reproduction and early development in fish are particularly sensitive to temperature perturbations. Numerous in vitro and in vivo studies have shown that reproductive endocrine homeostasis in fish (Fig. 1) is responsive to changes in temperature. This includes alterations in the secretion and actions of hormones associated with all components of the hypothalamic–pituitary–gonadal axis which controls reproductive processes. By comparison, far fewer studies have considered the longer term consequences of altered temperature profiles on the reproductive cycle or larval development. Even fewer studies have considered the long-term ecological consequences of multigenerational exposures to elevated thermal regimes. Given the existing data and the need for a rapid response to questions on the outcomes of temperature change, our best informed judgement will have to be based, in large part, on information from short-term assays. This leads to the question of whether current methods of assessing the effects of temperature on the molecular and cellular events mediating reproductive processes can be used to predict effects at whole animal and population levels (Fig. 2).
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) | 0.000 | 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".