Biocide effect of crude aqueous extracts of Capsicum frutescens, Melia azedarach and Peganum harmala on in-orchard Euphyllura olivina Costa (Homoptera, Psyllidae)
Bibliographic record
Abstract
Seeking alternative control methods against the olive psyllid, Euphyllura olivina, crude aqueous extracts of Capsicum frutescens, Melia azedarach and Peganum harmala were used on trees infested with the pest. Fifty grams of each dried plant extract/liter of water were sprayed. Trees treated with water or dimethoate were used respectively as control or standard. The population densities of the psyllid were counted 2, 6 and 14 days after treatment. The extracts significantly affected the psyllid populations. According to the observation period, the densities of the insect varied from 0 to 64, 2 to 90 and from 0 to 83 individuals/olive branch for C. frutescens, M. azedarach and for P. harmala, respectively. In the controls blocks, the psyllid densities ranged from 0 to 9 and from 32 to 101 individuals/olive branch for dimethoate and water, respectively. The results are discussed in the perspective of olive pest management.
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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".