Reasoned opinion on the setting of MRLs for imazapyr in genetically modified soya bean and other oilseeds and in lentils
Bibliographic record
Abstract
In accordance with Article 6 of Regulation (EC) No 396/2005, the United Kingdom, hereafter referred to as the evaluating Member State (EMS), received an import tolerance application from Exponent International Ltd., on behalf of BASF Corporation, to set MRLs for the use of the active substance imazapyr in genetically modified soya bean grown in Brazil, imidazolinone-tolerant lentils, rape and mustard plants grown in Canada and sunflowers in Argentina. The United Kingdom proposed to set MRLs of 5 mg/kg in soya bean, 0.08 mg/kg in sunflower seed, 0.05 mg/kg in rape seed and mustard seed and 0.2 mg/kg in lentils. The United Kingdom 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. According to EFSA the data are sufficient to derive MRL proposals of 5 mg/kg on soya bean, 0.08 mg/kg on sunflower seed, the limit of quantification (LOQ) of 0.05 mg/kg on rape and mustard seed and 0.3 mg/kg on lentils. In the countries of origin the MRLs are set at 3 mg/kg on soya bean, 0.05 mg/kg on sunflower, rape and mustard seed and 0.2 mg/kg on lentils. Adequate analytical enforcement methods are available to control the residues of imazapyr in the crops under consideration. Based on the risk assessment results, EFSA concludes that the proposed uses of imazapyr in soya bean, sunflower seed, rape seed, mustard seed and lentils will not result in a consumer exposure exceeding the toxicological reference value and therefore are unlikely to pose a consumer health risk.
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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 | 0.033 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.008 | 0.003 |
| Research integrity | 0.078 | 0.029 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".