Species Selection for Deriving Water Quality Criteria for Protection of Aquatic Organisms in China
Bibliographic record
Abstract
As an important component of the water quality criteria system,the aquatic life criteria aim to protect aquatic biota from hazardous chemicals.The water quality values differ within ecosystems and in geographical regions.Based on overall analysis of the species selection for deriving aquatic life criteria in the United States,Europe,Canada,the Netherlands,Australia and New Zealand,the species selection required for deriving water quality criteria in China was discussed.The results showed that the aquatic organisms required for deriving the aquatic life criteria in China should come from eight different families: Cyprinidae,another family in Osteichthyes,a family in Amphibia,a family in Arthropoda and a family in Rotifera from zooplankton,a family in Arthropoda and a family in Annelida from Zoobenthos,and a macrophyte(or phytoplankton).These can comprehensively represent different trophic levels and life forms in the aquatic ecosystem.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".