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Ceratoconjuntivite por Encephalitozoon hellem em periquitos agapornis (Agapornis spp.) no Brasil: relato de caso

2010· article· pt· W1998794185 on OpenAlexaff
Alex Akira Nakamura, Camila Guariz Homem, Sérgio Diniz Garcia, Marcelo Vasconcelos Meireles

Bibliographic record

VenueArquivo Brasileiro de Medicina Veterinária e Zootecnia · 2010
Typearticle
Languagept
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsMontreal Police Service
Fundersnot available
KeywordsBiologyMolecular biology

Abstract

fetched live from OpenAlex

Relata-se um caso de ceratoconjuntivite causada por Encephalitozoon hellem em agapornis (Agapornis spp.) adultos, provenientes de um criatório comercial. Cinco animais apresentaram sinais clínicos de ceratoconjuntivite, blefaroespasmo e blefaroedema bilateral, com presença de secreção seropurulenta. Amostras fecais foram colhidas e foi realizado exame coproparasitológico, com resultado negativo. Dois animais foram necropsiados, sendo detectados, em impressões de raspado de conjuntiva ocular, esporos e outros estádios evolutivos de Microsporidium. A confirmação do diagnóstico foi feita pela reação em cadeia de polimerase e sequenciamento de fragmentos amplificados, com utilização de primers específicos para o gene da subunidade 18S do rRNA de E. hellem. A análise dos fragmentos amplificados demonstrou 100% de similaridade com outras sequências de E. hellem publicadas no GenBank. Este é primeiro relato de infecção por E. hellem em aves no Brasil.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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