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Record W4403570298 · doi:10.1093/jipm/pmae031

Insect parasitoids of fall armyworm (Lepidoptera: Noctuidae) in Africa and Asia and their adoption in integrated pest management of maize in Nepal

2024· article· en· W4403570298 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Integrated Pest Management · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsWestern University
Fundersnot available
KeywordsNoctuidaeLepidoptera genitaliaFall armywormPEST analysisBiologyIntegrated pest managementInsect pestAgronomyAgroforestryEcologyBotanySpodoptera

Abstract

fetched live from OpenAlex

Abstract The fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) is native to the neotropics and invaded Africa and Asia in 2016 and 2018, respectively, and Nepal in 2019. Even though it is a polyphagous pest, the population that reached Africa and Asia prefers maize. As native parasitoids and predators form the first line of defense against new invaders, a study conducted in Nepal identified 9 species of parasitoids, namely, 2 eggs, 1 egg-larval, 4 larval, 1 larval-pupal, and 1 pupal parasitoid of FAW. A comparison was made on the list of parasitoids and predators of FAW recorded in other countries in Asia and Africa. The Feed the Future Nepal Integrated Pest Management Lab, was involved in human and institutional capacity building for survey, collection, identification, and multiplication of parasitoids of FAW. A national augmentative biological control program has been developed and included as a component of the IPM package for maize in Nepal.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.577
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.232
Teacher spread0.222 · 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