Influence of salinity on<i>Vibrio fischeri</i>and<i>lux</i>-modified<i>Pseudomonas fluorescens</i>toxicity bioassays
Bibliographic record
Abstract
Abstract This study compares the toxicological response of the marine bacteria Vibrio fischeri and a lux-modified soil and freshwater bacteria, Pseudomonas fluorescens, to saline contamination alone and in the presence of chromium and phenol. Saline solutions are more toxic to P. fluorescens than V. fischeri, and salinity can stimulate luminescence in V. fischeri. Vibrio fischeri is about 10 times more sensitive than P. fluorescens to chromium and phenol. However, the response of P. fluorescens to these toxicants is sensitive to changes in saline contamination, while the response of V. fischeri is not. Therefore, the P. fluorescens bioassay may be a more appropriate bioassay organism than V. fischeri when evaluating the toxicological impact of salinity within saline environmental samples.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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".