Lethal and sublethal toxicity of didecyldimethylammonium chloride in early life stages of white sturgeon, <i>Acipenser transmontanus</i>
Bibliographic record
Abstract
This study was conducted to describe the acute lethality and latent toxicity of didecyldimethylammonium chloride (DDAC) on early life stages of white sturgeon (Acipenser transmontanus). Fish responses to 0, 10, 50, 100, 250, 500 microg/L concentrations of DDAC were determined using a 96-h standard static renewal method for acute toxicity testing, with three replicates per concentration. Twenty fish per replicate were tested for 3, 11, and 42-d-old larvae, and 7 fish per replicate were tested for 78-d-old juveniles. Following exposure, survival and growth were evaluated in exposed fish raised in clean water for 2 weeks. The 96-h median lethal concentration (LC50) values for DDAC were 10.0 to 50.0, 58.5, and 99.7 microg/L for 3, 11, and 42-d-old larvae and 100 to 250 microg/L for 78-d-old juveniles. Significant decreases in larval growth and survival were noted at all tested concentrations and in all sturgeon age groups. Results of this study reveal age- and concentration-dependent responses to DDAC. Among the age groups tested, the 3-d-old larvae were the most sensitive group. Results also revealed that 96-h lethality testing alone is not adequate for determining the toxicity of DDAC to white sturgeon.
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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) | 0.000 | 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".