The further development of ionoregulatory measures as biomarkers of sensitivity and effect in fish species
Bibliographic record
Abstract
Extensive season-by-season sampling was used to establish the normal range of whole-body Na+ and Cl- and Na+ uptake in healthy populations of two fish species, rainbow trout, Oncorhynchus mykiss, and fathead minnow, Pimephales promelas, of known differences in sensitivity to ionoregulatory toxicants (low pH, trace metals). These data together with responses of both species to six different ionoregulatory challenge tests of increasing severity (mild handling, exposure to low Ca2+ water, epinephrine injection, net-confinement stress, exposure to copper, and osmotic shock) were evaluated for their potential as biomarkers of sensitivity and of effect of ionoregulatory toxicants. There were no obvious biomarkers of sensitivity in the ion measures themselves, but four of the six challenges (exposure to low Ca2+ water, epinephrine injection, exposure to copper, and osmotic shock) produced a significantly greater effect in the more sensitive of the two species, fathead minnow. Based on the responses of both species, this article makes a number of recommendations for the application of ion measures alone and in combination with challenge tests to the assessment of chronic effects in populations experiencing sublethal ionoregulatory stress.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".