Scientific Opinion on the pest categorisation of Strawberry latent C virus
Bibliographic record
Abstract
The Panel on Plant Health performed a pest categorisation of Strawberry latent C virus (SLCV) for the European Union (EU) territory. SLCV is defined only by symptoms in strawberry indicators. It has not been characterised, is not recognised as a valid species, and reliable detection assays are unavailable. SLCV is transmitted by vegetative multiplication of infected hosts and by Chaetosiphon aphid vectors. SLCV has been reported only from USA, Canada and Japan. It is listed in Annex IAI of Directive 2000/29/EC. It infects cultivated and wild strawberries, and there is no other information on its host range. SLCV is not expected to be affected by ecoclimatic conditions wherever its hosts are present, and has the potential to establish in large parts of the EU territory. SLCV can spread through the action of its widely distributed C. fragaefolii vector and through the movement of strawberry plants for planting. However, the existence of efficient and widely adopted certification systems for strawberry constitutes a very strong limitation to SLCV spread. Although latent in many strawberry varieties, SLCV can cause significant damage, in particular when in co-infection with other strawberry viruses. However, the importance and impact of SLCV have both essentially disappeared in North America, most probably as a result of modern practices including the systematic use of certified planting materials and the use of short crop cycles. Such practices are also widely used in the EU and have broadly reduced the impact of strawberry viruses. Overall, SLCV does not have the potential to be a quarantine pest or a regulated non-quarantine pest, because it does not fulfil the following pest categorisation criteria of the International Standards for Phytosanitary Measures (ISPM) No 11/21: clear identity of the pest (ISPM 11/21), presence in the PRA area (ISPM 21) and having a severe impact (ISPM 11).
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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 | 0.015 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".