Diversity and dynamics of populations of mites in nectarine trees (Prunus persica var. nucipersica) (Rosaceae)
Bibliographic record
Abstract
The international literature does not provide much information about the incidence of species of mites in nectarine cultivars. The purpose of the present study was to determine diversity and dynamics of populations of mites and their interactions in different nectarine cultivars in the southwestern region of the State of São Paulo, Brazil. These mites were split into 15 families, 22 genders and 28 species. Aculus fockeui (Nalepa & Trouessant) (Eriophyidae) was the most abundant species, with 90.2 % of the mites collected. The populations of A. fockeui displayed specific periods with greater number of individuals. Phytoseiidae showed the highest richness of species. Ricoseius loxocheles (De Leon) and Euseius ho (De Leon) were the most abundant predators. Euseius ho population showed a positive correlation with rainfall.
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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 | 0.001 | 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) | 0.000 | 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".