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Record W2713472943

Aspectos anatomopatológicos do parasitismo pulmonar por Didelphostrongylus hayesi em saruê (Didelphis albiventris) de vida livre

2016· article· pt· W2713472943 on OpenAlexaboutno aff
Euclides Barbosa, Susy Karoline Hermes de Sousa, Márcio Botelho de Castro

Bibliographic record

VenuePesquisa Veterinária Brasileira · 2016
Typearticle
Languagept
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyDidelphisHumanitiesAnatomyArt
DOInot available

Abstract

fetched live from OpenAlex

Introducao: A superfamilia Metastrongyloidea e composta por parasitos que infectam os sistemas respiratorio, cardiovascular e nervoso de mamiferos (Koch & Willesen 2007). Estes metastrongilideos sao esporadicamente isolados de cachorros do mato (Cerdocyon thous) (Vieira et al. 2008) e pinipedes (Jacobus et al. 2016), porem as informa- coes sobre as alteracoes morfologicas causadas por estes parasitos em sarues (Didelphis albiventris) sao escassas no Brasil. O Didelphostrongylus hayesi foi relatado como um parasita pulmonar em Didelphis virginiana nos Estados Unidos, sendo um dos principais metastrongilideos desta especie, causando broncopneumonia granulomatosa (Duncan et al. 1989, Lamberski et al. 2002, Jones 2013). No Canada, estes parasitos foram descritos em um coiote (Canis latrans) associados a ocorrencia de trombose arterial pulmonar e arterite proliferativa associada a inϐiltrado de macrofagos, eosinoϐilos e celulas gigantes multinucleadas tipo corpo-estranho, alem de ϐibrose intersticial pulmonar (Bourque et al. 2005). O objetivo do presente trabalho e avaliar os aspectos anatomopatologicos da infeccao pulmonar em sarues por Didelphostrongylus hayesi, a ϐim de caracterizar lesoes semelhantes nas especies silvestres, cujos relatos sao escassos e necessitam de mais elucidacoes.

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 score0.015
Threshold uncertainty score0.030

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 head0.023
GPT teacher head0.317
Teacher spread0.294 · 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
Published2016
Admission routes1
Has abstractyes

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