Pest risk analysis and invasive alien plants: progress through PRATIQUE*
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
The EPPO Decision‐support scheme (DSS) for Pest Risk Analysis (PRA) was fundamentally revised by the PRATIQUE EU project. Based on the examples of Polygonum perfoliatum (mile‐a‐minute‐weed) and Eichhornia crassipes (water hyacinth), its applicability for invasive alien plants was tested. By means of a comparison of the risk analysis procedures with EPPO schemes before and after the project, pest group specific enhancements are outlined. For the two plants tested here, documented invasion history as well as biotic and abiotic requirements show that they can establish and spread in Europe and cause damage. PRATIQUE revisions to the EPPO DSS increased transparency, user friendliness and consistency for PRAs on invasive alien plants. This was accomplished through more comprehensive rating guidance, and aspects such as allowing individual risk elements to be documented and summarized to give a conclusive end result.
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) | 0.002 | 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