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Record W7132684403

New records of chewing lice (Brueelia chayanh) species carried on the bird species of common myna (Acridotheres tristis) transported to Turkey by smuggling

2023· article· en· W7132684403 on OpenAlexaboutno aff
Loğman Aslan, Ali Bilgin Yılmaz, Özdemir Adızel, Erkan Azizoğlu

Bibliographic record

VenueVan Yüzüncü Yıl University Academic Data Management System · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBird parasitology and diseases
Canadian institutionsnot available
FundersUniversity of Utah
KeywordsClearanceInfestationCommon speciesDorsumInvertebrateAlien species
DOInot available

Abstract

fetched live from OpenAlex

The present study was conducted to collect data on the lice species carried on common myna (Acridotheres tristis), which is a bird species that had no natural distribution in Turkey but was later included in the Turkish ornithofauna. Material and Methods: The bird carcasses were visually inspected and ectoparasite samples were randomly obtained from the back, abdomen, and underwing of each bird using a 4X lens, comb, fine forceps with good light source. The collected lice were placed in tubes containing 70% alcohol and were cleared in 10% KOH. After washing with distilled water, samples were passed through 70%, 80% and 90% alcohol series for three consecutive days, respectively, and were coated with Canadian balm. Lice were identified by light microscopy. Results: Of the 25 carcasses of common mynas inspected, 19 (76%) birds were found to be infested with lice, including 16 (84.2%) birds infested with both Menacanthus eurysternus and Brueelia chayanh and the remaining 3 (15.8%) birds infested with Brueelia chayanh only. The Menacanthus eurysternus lice were mostly collected from the dorsal region, while the Brueelia chayanh lice were mostly collected from the ventral region in the birds. Conclusion: To our knowledge, this is the first study to report Brueelia chayanh in common myna in Turkey.&nbsp;<br>

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.051
GPT teacher head0.254
Teacher spread0.203 · 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 teacher head, not a consensus.

Study designNot applicable
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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