Mulberry (Morus nigra L., Moraceae) Hosting Scale Insects Crypticerya brasiliensis (Hempel, 1900) (Hemiptera: Monophlebidae) and Pseudaulacaspis pentagona (Targioni-Tozzetti, 1886) (Hemiptera: Diaspididae) in the Federal District, Brazil
Bibliographic record
Abstract
The black mulberry tree (Morus nigra L. Moraceae), a perennial shrub, is one of the most abundant species in the urban afforestation of Brasília, Federal District, Brazil. This work records the first occurrence of Crypticerya brasiliensis (Hempel, 1900) (Hemiptera: Monophlebidae) and Pseudaulacaspis pentagona (Targioni-Tozzetti, 1886) (Hemiptera: Diaspididae) infesting M. nigra in the Federal District, Brazil. For this study, 20 specimens of M. nigra trees were inspected during September to October 2019, in two locations of the Federal District, Brazil, and the presence of scale insects were found on the trunks, stems, and leaves. The main damage caused by C. brasiliensis in the sampled trees were dry stems and branches along with yellow leaves, by the insects feeding mainly on the leaf veins. Pseudaulacapis pentagona was observed on the branches and stems of the plant isolated from the second sampling point. Infested branches were dry and leafless, with many scale insects, and some branches displayed small cracks. This is the first time M. nigra has been registered as a host plant of C. brasiliensis, as well as first occurrence of P. pentagona infesting M. nigra in the Federal District, Brazil.
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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) | 0.001 | 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".