Syzygium aromaticum Essential Oil to the Control of Tenuipalpus heveae
Bibliographic record
Abstract
The objective was to determine the effect of essential oils on the mortality and repellency of the Tenuipalpus heveae Baker mite (Acari, Tenuipalpidae). Leaf discs of rubber trees were deposited in Petri dishes containing a moistened cotton layer. Posteriorly, the essential oils were diluted to formulate solutions, which were sprayed onto the discs. The experimental design was completely randomized, in a 3 × 4 factorial design: neem, cedar and clove oils at doses 0, 10 μL, 50 μL and 100 μL, with five replicates, with ten adult females being considered per replicate. The exposure to the effect of essential oil was evaluated after 24, 48, 72 and 96 hours for the number of females dead and females in the cotton. The data were submitted to analysis of variance, the values were transformed into (x + 0.5)1/2, and the means were grouped by the Scott-Knot test at 5% probability for the treatments, the doses were submitted to regression analysis. From the 48 hours of evaluation, clove oil showed greater potential for adult mite mortality, being 1.38 in 48 hours, 1.40 in 72 hours and 1.50 in 96 hours. The dose of 100 μL presented a greater potential for the neem and clove oils. The clove essential oil has potential in the control of Tenuipalpus heveae.
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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".