Original GC/EI/MS total ion chromatograms of Lemna (Lemna minor L.) treated or not with metribuzin, glyphosate, and their binary mixtures
Bibliographic record
Abstract
The GC/EI/MS metabolite profiles of Lemna minor L. plants were recorded following treatments with sub-lethal concentrations of the herbicidal active ingredients (a.i.) metribuzin and glyphosate, and various of their binary mixtures. The raw GC/EI/MS total ion chromatograms (*.cdf format) of the Lemna's endo-metabolomes were recorded, which are included in this article. Since Lemna is a model organism in ecotoxicological studies, the dataset could serve as a reference for Lemna metabolomics studies related to the investigation of the effects of phytotoxic compounds and their mixtures on its metabolism. Also, the dataset could be a valuable resource for the discovery of validated biomarkers of the toxicity of mixtures. The dataset support the research article “Kostopoulou et al., Assessment of the effects of metribuzin, glyphosate, and their mixtures on the metabolism of the model plant Lemna minor L. applying metabolomics. “Chemosphere 239, 2020, 124582.”
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".