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Record W1775566018 · doi:10.5376/jmr.2013.03.0014

Screening of Local Plants for Their Repellent Activity against Mosquitoes (Diptera: Culicidae)

2013· article· en· W1775566018 on OpenAlexvenueno aff
B. Sai Shankar, Thanikachalam Saravanan, M. Ragavi, G. Kaviya, Ankita Anushree, D. Arul Samraj, Samuel Tennyson

Bibliographic record

VenueJournal of Mosquito Research · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsDEETBiologyInsect repellentToxicologyTraditional medicineZoologyEcologyMedicine

Abstract

fetched live from OpenAlex

A preliminary screening was carried out on five plants viz ., Azadirachta indica, Citrus medica , Murraya koenigii, Ocimum tenuifloreum and Ricinus communis for their repellent activity against mosquitoes. The repellent activity was studied under natural conditions in the field making use of the traditional knowledge as background. Field observations were undertaken in houses wherein dried powdered plant leaves each (250g) burnt on glowing charcoal produced smoke act as a repellent mosquitocide. Results indicated that among the five plants utilized, Azadirachta indica , Murraya koenigii and Citrus medica provided repellence with a protection time of six hours followed by Ricinus communis and Ocimum tenuifloreum with four hours. Besides these, the incidence of mosquito bites significantly reduced after usage of plant products. It may be concluded that natural products from plants of insecticidal and medicinal values have higher efficiency in reducing mosquito menace due to their repellent toxicity. Further studies on the in-depth laboratory and field bioassays are needed as the present study indicated the scope to use local plants to control and repel mosquitoes .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.089
GPT teacher head0.318
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2013
Admission routes1
Has abstractyes

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