<i>Cacopsylla costalis</i> (Flor 1861), as a Vector of Apple Proliferation in Trentino
Bibliographic record
Abstract
Recently, a epidemic of apple proliferation (AP) in an orchard area of Trentino (North Italy) occurred. The most affected cultivars were Golden Delicious, Florina and Renetta Canada grafted on different rootstocks. In this area the known or supposed vectors of the disease were not present. At the same time as the AP symptoms appeared, a notable increase of the presence of psyllids was observed on apple trees so a correlation between these insects and the AP was hypothesized. Four different psyllid species were found in the orchard: Cacopsylla melanoneura (Förster 1848), Cacopsylla costalis (Flor 1861), Cacopsylla mali (Schmidberber 1836) and Trioza urticae (Linnaeus 1758). The first two were more frequent in spring at the adult stage. In 1997 C. costalis was particularly numerous and was used to plan AP transmission trials. The transmission from infected AP apple trees to the insect in field and from the psyllids to non‐infected Golden Delicious and Florina plants in the greenhouse were conducted. For the control of phytoplasma presence in the psyllids and in the apple plants polymerase chain reaction (PCR), nested PCR and restriction fragment length polymorphism analysis were used. In autumn 1997, some inoculated plants showed symptoms of AP. Molecular results were consistent with the presence of phytoplasma in C. costalis and in inoculated apple cultivars.
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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 | 0.000 | 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) | 0.001 | 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 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".