Sensitivity of Mayfly <i>Neocloeon triangulifer</i> to a Reference Toxicant Is Significantly Impacted by the Age of the Diatom Feed Species <i>Navicula pelliculosa</i>
Bibliographic record
Abstract
The development of standardized toxicity tests is critical for assessing pollutants in aquatic ecosystems. The mayfly Neocloeon triangulifer offers advantages as a test species due to its asexual reproduction, short life cycle, and high sensitivity to pollutants. However, we identified variability in response sensitivity to pollutants, which may stem from the nutritional composition and growth stage of its primary food source, Navicula spp. diatoms. This study aimed to evaluate the repeatability and reproducibility of 96 h toxicity tests to sodium chloride with N. triangulifer fed diatoms of varying ages (target concentrations: 329, 494, 741, 1111, 1666, and 2500 mg/L). We tracked Navicula spp. growth stages under controlled conditions and characterized fatty acid and lipid contents at each stage to assess how these factors influence N. triangulifer sensitivity to sodium chloride, a common reference toxicant. Sensitivity increased significantly as the diatom feed aged, highlighting the need for standardized culturing methods to improve test reliability. This study is the first to simultaneously characterize the growth stages and fatty acid profiles of Navicula spp. diatoms as feed species for N. triangulifer . This work contributes valuable insights to the optimization of standardized toxicity testing with this sensitive aquatic insect.
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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 | 0.000 | 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) | 0.001 | 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".