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Record W4285095819 · doi:10.52547/jibs.8.3.435

Expansion in the distribution of Pauesia silana Tremblay (Hymenoptera, Braconidae, Aphidiinae), across North Africa, a recent discovery in Tunisia

2022· article· en· W4285095819 on OpenAlexfundno aff
Monia Ben Halima Kamel, Sana Zouari, Hossein Barahoei, Ehsan Rakhshani

Bibliographic record

VenueJournal of Insect Biodiversity and Systematics · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect behavior and control techniques
Canadian institutionsnot available
FundersUniversity of ZabolUniversité de Montréal
KeywordsBraconidaeHymenopteraBiologyDistribution (mathematics)ParasitoidBotanyMathematics

Abstract

fetched live from OpenAlex

The occurrence of Pauesia silana Tremblay, as an aphid parasitoid (Hym., Braconidae, Aphidiinae) in Tunisia is documented.The parasitoid was found in association with the Aleppo pine aphid, Cinara palaestinensis Hille Ris Lambers, infesting Pinus halepensis.Specimens were collected by the rearing of the mummified aphids from the colonies infested the pine trees in the Arboretum of the Institut Supérieur Agronomique Chott Mériem (ISA CM -Tunisia) during March-April 2021.A brief diagnosis is provided for the recorded parasitoid.This is the first record of a Pauesia species in Tunisia (out of the purposeful introduction of Pauesia antennata Mukerji).Two secondary parasitoids including Asaphes vulgaris Walker and Pachyneuron aphidis (Bouché) (Hym., Chalcidoidea, Pteromalidae) have also emerged from the mummified aphids.The known Cinara aphids and their associated parasitoids in the North African country are reviewed.Both Aleppo pine aphid and the newly detected parasitoid might be considered exotic species in North Africa, sourced from a recent accidental introduction inside the Mediterranean area, or a horizontal expansion across the North African countries.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.039
GPT teacher head0.221
Teacher spread0.182 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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