Taxonomic study and population variation of scale insects\n(Hemiptera: Coccidae and Diaspididae) and associated parasitoids (Hymenoptera: Chalcidoidea) in an olive grove at\nRio Grande do Sul, Brazil
Bibliographic record
Abstract
This study evaluated the population variation of Hemiberlesia lataniae (Signoret) (Hemiptera: Diaspididae) and associated parasitoids in Olea europaea L. (Oleaceae) groves located in the municipality of Barra do Ribeiro (30°30′54.95″S; 51°30′20.84″W), Rio Grande do Sul, Brazil. Eight samples were collected during the four seasons from November 2015 until October 2017; four branches with approximately 20 leaves were taken from 12 olive trees (four each from Arbequina, Arbosana and Koroneiki varieties). The collected material was placed in plastic bags and taken to the laboratory for further study. Scale insects were slide-mounted and were identified according to morphological characteristics of the adult female. Parts of two branches and 40 leaves of each variety infested with scale insects were sectioned and placed inside glass tubes, labeled, capped with cotton, kept in the laboratory at room temperature and examined daily to verify the emergence of parasitoids. Parasitoid specimens studied were critical point dried from ethanol and point-mounted. Some specimens were slide mounted in Canada balsam for more detailed study. In all samples, the presence of H. lataniae, as well as six associated parasitoid species, were identified. Metaphycus flavus (Howard) is recorded for the first time as a parasitoid of H. lataniae. Two other scale insects were also identified: Pseudaulacaspis pentagona (Targioni Tozzetti) (Diaspididae) and Saissetia coffeae (Walker) (Coccidae), but the population data of these did not permit statistical analysis. A key to identify the scale insect species recorded on olive trees in Brazil, based on adult females, is provided.
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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".