Impact Assessment Framework with Specific Protection Goals (SPGs) for Non-Target Terrestrial Plants (NTTPs)
Bibliographic record
Abstract
In this report we propose a preliminary Impact Assessment (IA) Framework that may be applied to the regulation of plant protection products (PPPs) and that fulfils the requirements of the Better Regulation Guidelines. Framework development focused on the use of PPPs for weed control and the protection of non-target terrestrial plants (NTTPs). Four weed control scenarios were described as case studies including (I) a reference scenario with emphasis on herbicidal weed control, (II) a scenario with focus on in-field protection of NTTPs, (III) a scenario oriented at off-field protection of NTTPs, and (IV) a scenario with full protection of ecosystem services. Six ecosystem services were evaluated: Crop provision (food and raw materials), wild foods, fresh groundwater, fresh surface water, erosion prevention and maintenance of soil fertility and habitat for species. The framework and Specific Protection Goals (SPGs) were tested using six case studies representing a range of crops and EU Member States.
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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 | 0.013 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".