Sensitivity Assessment of Ceriodaphnia Affinis and Daphnia Magna for the Determination of Ecological Water Quality Standards for Chemical Substances
Bibliographic record
Abstract
Summary The response range of Ceriodaphnia affinis and Daphnia magna from the collection of cultures of the laboratory of ecological and toxicological research of V. N. Karazin Kharkiv National University to the reference chemical substance K2Cr2O7 was determined experimentally under the conditions of using the OECD methodology “Daphnia sp. Acute immobilization test, OECD Guideline for the testing of chemicals”. The obtained results of the experiment became the basis for the inclusion of this method in the set of methods for establishing the standards - the ecological standards of water quality in Ukraine, in particular the water quality standards for the protection of the aquatic ecosystem from dangerous short-term effects of chemicals. Such a proposal is put forward on the basis of an analysis of modern surface water quality regulation systems in the EU, Canada and the USA. The implementation of such an approach will make it possible to make management decisions in the short term to eliminate the critical consequences of exposure to dangerous chemicals during military operations on the territory of Ukraine.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".