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Hepatic steatosis in six-banded armadillo (Euphractus sexcinctus Linnaeus, 1758)

2018· article· en· W2789543878 on OpenAlexaff
Márcia dos Santos Rizzo, Alicia Viloria‐Petit, Aírton Mendes Conde

Bibliographic record

VenueBiota Neotropica · 2018
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of Guelph
FundersInstituto Chico Mendes de Conservação da Biodiversidade
KeywordsSteatosisFatty liverArmadilloPathologyBiologySpleenLymph nodeMedicineDiseaseImmunologyEndocrinologyEcology

Abstract

fetched live from OpenAlex

Abstract The six-banded armadillo (Euphractus sexcinctus) stands out among wild mammals due to the rare occurrence of spontaneous metabolic diseases. When altered, the liver, which is important in metabolism, may trigger a dysfunctional cascade, leading to hepatic steatosis. Here we describe a case of hepatic steatosis in a six-banded armadillo living in captivity. The female specimen was captured and donated to the Federal University of Piaui under SISBIO authorization nº53303. The animal was first referred for a veterinary clinical evaluation, and then euthanized following the ethical standards of the Federal Council of Veterinary Medicine. At the start of the dissection, the abdominal cavity was accessed and sections of all ex situ liver lobes, spleen and mandibular lymph node were subjected to routine histological processing; the results were photo documented. The anatomic and histopathological analysis confirmed the diagnosis of hepatic steatosis, which we propose is related to an infectious process as a result of the changes observed in the organs of the lymphoid system. This report of fatty liver disease in armadillo suggests an acute infectious process with lymphoid system involvement.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.274
Teacher spread0.259 · 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 designCase report
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

Citations1
Published2018
Admission routes1
Has abstractyes

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