Aedes aegypti Mosquito Potential Larvacidal of Phyllantus niruri L. Leaves Ethanol Extracts
Bibliographic record
Abstract
Dengue hemorrhagic fever (DHF) is a disease caused by dengue virus transmitted by Aedes aegyptifemale mosquitoes with four major clinical manifestations, such as high fever, hemorrhage,hepatomegaly, and signs of circulatory failure. Indonesia was reported as the 2nd country with thelargest dengue cases among 30 endemic countries. The larvicidal powder is used as one of thedengue virus vector controllers. This study aims to determine the effect of ethanol extract of smallgooseberry leaves (Phyllantus niruri L.) to the death of Aedes aegypti mosquitoes. This study usedquasi experimental method with post test only controlled group design with 1 positive control group(Temephos), 1 group of negative control (tap water), and 5 treatment groups (0.0625%, 0.125%,0.25% , 0.5% and 1% extract) used 20 larvaes of Aedes aegypti instar III each group. The results of thetreatment group extract with a concentration of 0.5% and 1% obtained 100% dead larvae. The resultof linear regression test showed the effect of meniran leaf extract on the death of larvae Ae. aegyptiwith R2 value of 65.2%. The larvacid activity of ethanol extract leaves meniran against larvae Ae.aegypti instar III was directly proportional to concentration with LC50 of 0.174% with 95% confidenceinterval (0.155-0.195).
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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) | 0.002 | 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".