Assessing the lethal effects of granular Bayluscide® on the early life stages of the freshwater mussel <i>Lampsilis siliquoidea</i>
Bibliographic record
Abstract
Effective control of invasive sea lamprey (Petromyzon marinus) populations relies heavily on lampricides, but few studies have investigated the impacts of granular Bayluscide® (gB) on benthic-dwelling organisms. Native freshwater mussels are present in many similar habitats that larval sea lamprey prefer, making them susceptible to nontarget effects. The active ingredient of gB, niclosamide, was derived specifically as a molluscicide; therefore, it is crucial to understand its impacts on a group of mollusks that have been imperiled due to many factors including the input of contaminants in the aquatic environment. Two early life stages of Lampsilis siliquoidea were tested in 7-day exposures to gB. Mortality was significant in both sub-adult and newly metamorphosed mussels, with the latter being significantly sensitive to gB applications that were less than 1% of the suggested application rate. A significant decrease in mussel growth was seen at 0.78% of the suggested application rate. A 24-hr test was supplemented due to gB potency, revealing a similar median lethal concentration of 0.67% (0.55-0.79) of the suggested gB application rate. Additionally, an 8-hr exposure of 0.78% of the application revealed significant effects after only 2 hr of exposure. Both early life stages of L. siliquoidea showed a marked sensitivity to gB. Although environmental conditions may have an influence on gB fate, the marked sensitivity of early life stages demonstrated in this study is crucial to understanding the effects of sustained gB application on the population dynamics of freshwater mussels.
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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".