Interspecific differences in the response of autotrophic microorganisms to atrazine and S-metolachlor exposure
Bibliographic record
Abstract
, for 7 days). For each culture, chlorophyll fluorescence and effective quantum yield of photosynthesis were determined and compared with lipid and methyl-ester fatty acid profiles. In general, the green algae was most strongly affected by atrazine and S-metolachlor. In particular, atrazine led to a total inhibition of photosynthesis and a sharp decrease in triacylglycerols (TAGs), while S-metolachlor caused a partial decrease in photosynthesis in the green algae and a sharp increase in reserve lipids in the diatom when the herbicide was in mixture. The effect of the mixture of compounds depended on the descriptor considered. Indeed, atrazine seemed to explain the toxicity of the mixture for photosynthetic parameters, while certain lipid classes showed intermediate responses between compounds. The results suggest mechanisms of shade adaptation, algal population increase and lipid remodeling in response to compound exposure. The results reveal differences in sensitivity between species after 7 days exposure to the two compounds alone and in mixture. These results support the value of using the study of lipid and fatty acid profiles as complementary information to traditional descriptors for the assessment of pesticide exposure on photoautotrophic organisms.
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".