Pest risk analysis and invasive alien plants: progress through PRATIQUE*
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.
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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 | 0.065 | 0.072 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| 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".