Comparison of Short- and Long-Term Assays to Detect Toxicity of Anthracene to a Luminescent Bacteria
Bibliographic record
Abstract
Anthracene (ANT) toxicity increases significantly after exposure to simulated or natural sunlight. A simple, rapid method for monitoring the photoinduced short- and long-term toxicity of ANT and other PAHs has been developed. The assay is based on changes in the luminescence intensity and growth rate of Vibrio fischeri. Under suitable conditions, V. fischeri emits a constant amount of light as a metabolic by-product. After exposure to a toxicant, the light intensity can be diminished by an amount which is often proportional to the extent of toxicant impact. Generally, V. fischeri has been used in short-term (15–30 min) assays. However, this does not reveal the toxicity of all hazardous chemicals. In particular, we found ANT is not highly toxic in short-term (e.g. 15 minute) assays. As well, the prevalent phototoxicity of this compound was not revealed in a short-term assay. A long-term (e.g. 18 hour) test was developed that assesses the photoinduced toxicity of ANT.
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 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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".