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Record W245378466

Studies on antifeeding activity of Daphne tangutica against tobacco cutworm, Spodoptera litura.

2000· article· en· W245378466 on OpenAlexaff
Chen Li, Hanhong Xu, Zhao Shanhuan

Bibliographic record

VenueJournal of the South China Agricultural University · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAllelopathy and phytotoxic interactions
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsSpodoptera lituraCutwormPetroleum etherChemistryEthyl acetateSolventBioassayAcetoneInstarToxicologyFrassTraditional medicineFood scienceBotanyOrganic chemistryBiologyNoctuidaeLarvaExtraction (chemistry)Medicine
DOInot available

Abstract

fetched live from OpenAlex

Insecticidal activity of Daphne tanutica, a local endemic plant from Qinghai-Tibet plateau, was first reported in this paper. The air-dried and powdered plant was extracted with methanol, acetone, ethyl acetate, chloroform, benzene and petroleum ester, and the results showed that foe extractive rate in methanol was the largest (22. 34% ), and the smallest (2. 21% ) in petroleum ester. The crude extracts of former five solvents were proved to possess strongly antifeeding effect on the 3rd instar larvae of tobacco cutworm, Spodoptera litura, through the preliminary bioassay with AFC50s of 108. 72, 111. 69, 102. 14, 71. 15 and 65. 51 g dried powder/L. At concentration of 500 g dried powder/L, antifeedant effect of the petroleum ester extract against the tested insects was 62. 31 %. Therefore benzene was the most effective extracting solvent.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

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)0.0010.000

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 head0.017
GPT teacher head0.206
Teacher spread0.188 · 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 designBench or experimental
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

Citations2
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the South China Agricultural UniversitySame topicAllelopathy and phytotoxic interactionsFrench-language works237,207