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Record W2542197808 · doi:10.1142/s1682648515500316

A RETROSPECTIVE STUDY OF PATHOLOGICAL FINDINGS IN ENDANGERED FORMOSAN PANGOLINS (<i>MANIS PENTADACTYLA PENTADACTYLA</i>) FROM SOUTHEASTERN TAIWAN

2016· article· en· W2542197808 on OpenAlexfundno aff
Rupak Khatri‐Chhetri, Tsung-Chou Chang, Nabin Khatri-Chhetri, Yen-Li Huang, Kurtis Jai‐Chyi Pei, Hung‐Yi Wu

Bibliographic record

VenueTaiwan Veterinary Journal · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBird parasitology and diseases
Canadian institutionsnot available
FundersPetroleum Technology Research CentreNational Science Council
KeywordsPangolinPathologicalPathologyMedicineHyperplasiaInterstitial nephritisInternal medicineKidney

Abstract

fetched live from OpenAlex

Formosan pangolin, a sub-species of Chinese pangolin is a critically endangered insectivorous mammal found only in Taiwan. Pathological studies are helpful in the diagnosis and investigation of wildlife diseases. Pathological findings in pangolins have not been well documented. The present paper reports the pathological findings of 14 free-ranging Formosan pangolins. External injuries and superficial wounds (6/14) were common finding in gross examination and were mostly found in the legs. Respiratory system (78%, 11/14) lesions included interstitial pneumonia, atelectasis and emphysema. Hepatic changes (43%, 6/14) included necrosis, bile duct hyperplasia, lipidosis and extensive hepatocyte degeneration. Parasites were detected in 57% of pangolins (8/14) studied and included both endoparasites and ectoparasites. Urinary system (21%, 3/14) lesions were interstitial nephritis and nephrolithiasis. Brain lesions were found in three pangolins and included cerebral edema and hemorrhage and ventriculitis. Additional pathological lesions included thyroid gland hyperplasia and left ventricular hypertrophy. The presented pathological findings can aid in the understanding of diseases of pangolins and will contribute knowledge to future investigations on diseases of pangolins.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.280
Teacher spread0.251 · 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 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

Citations21
Published2016
Admission routes1
Has abstractyes

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