Bibliographic record
Abstract
The Environmental Protection Agency (EPA) Office of Pesticide Programs (OPP) is participating in Organization For Economic Cooperation and Development (OECD) workgroups to update OECD guidelines number 201 (aquatic algal toxicity), number 208 (terrestrial plant toxicity), and to develop a new yet unnumbered guideline for the aquatic macrophyte Lemna spp. The EPA participants have presented the 850 series EPA guidelines and existing American Society for Testing and Materials (ASTM) guidelines to the OECD workgroups for their consideration. Under the existing North Atlantic Free Trade Agreement (NAFTA), the EPA is harmonizing plant toxicity tests and nontarget plant risk assessment methods with the Pest Management Regulatory Agency (PMRA), Canada. A pesticide regulatory workshop was recently held at the EPA to share information with Mexican government pesticide regulators. The OECD guidelines are focusing on pesticide and toxic substances, whereas NAFTA harmonization efforts to date are primarily for methods used to evaluate pesticides. While some of the plant tests are similar for toxic substances and pesticides, statutes and risk assessment methods are different.
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 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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.014 |
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".