Modification of the existing maximum residue levels for metconazole in various crops
Bibliographic record
Abstract
In accordance with Article 6 of Regulation (EC) No 396/2005, the evaluating Member State (EMS) Belgium received an application from BASF SE Crop Protection to set import tolerances for the active substance metconazole in blueberries, potatoes, tropical root and tuber vegetables, pulses and sunflower seeds imported from the United States of America and/or Canada. Belgium drafted an evaluation report in accordance with Article 8 of Regulation (EC) No 396/2005 which was submitted to the European Commission and forwarded to EFSA. The submitted trials are sufficient to derive MRL values of 0.5 mg/kg for blueberries, the limit of quantification of 0.04 mg/kg for potatoes and tropical root and tuber vegetables, 0.15 mg/kg for pulses and 1 mg/kg for sunflower seeds. However, since the MRL values on blueberries and sunflower seeds are currently set at a level of 0.4 mg/kg and 0.7 mg/kg, respectively, in North America, EFSA proposes to set the import tolerances at these levels for these two plant commodities. Adequate analytical enforcement methods are available to control the residues of metconazole on the commodities under consideration. Based on the risk assessment results, EFSA concludes that the reported uses of metconazole on the crops under consideration will not result in a consumer exposure exceeding the toxicological reference values for the active substance, therefore are unlikely to pose a consumer health risk.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".