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Record W4376130143 · doi:10.53964/jmab.2023011

Family Tetracampidae (Insecta: Hymenoptera) as Parasitoids of the Orders Diptera, Coleoptera and Lepidoptera as Agricultural Pests

2023· article· en· W4376130143 on OpenAlexaboutno aff
Carlos Henrique Marchiori

Bibliographic record

VenueJournal of Modern Agriculture and Biotechnology · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect behavior and control techniques
Canadian institutionsnot available
Fundersnot available
KeywordsLepidoptera genitaliaHymenopteraBiologyEcologyGenusParasitoidBiological pest controlNatural enemiesEntomologyZoology

Abstract

fetched live from OpenAlex

Many species of Tetracampidae are hosts that have been identified are plant-mining insects. The European species of the genus Dipriocampe are endoparasitoids of the eggs of flies or saw wasps. Species of the genus Foersterella from England are endoparasitoids of the eggs of Cassida spp. One species, Dipriocampe diprioni (Ferrière, 1935), has been introduced to Canada from Europe as a biological control of saw wasps but has failed to become established. The aim of this mini review is to consider the importance of the Tetracampidae family (Insecta: Hymenoptera) as parasitoids of the Diptera, Coleoptera and Lepidoptera orders as agricultural pests. The short commentary research was carried out based on studies related to the quantitative and conceptual aspects of Tetracampidae. A bibliographic search was carried out containing national and international articles from 1973 to 2022. The short commentary used digital platforms.

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)0.001
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.217
Teacher spread0.209 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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