Reasoned opinion on the setting of MRLs for imazapyr in genetically modified soya bean and other oilseeds and in lentils
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it