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Pneumonia fúngica por Aspergillus spp. em cão - relato de caso

2022· article· pt· W4303614492 on OpenAlexaboutno aff
Amanda Junior Jorge, Isadora Campos Portella, Carolina Magri Ferraz, Igor Luiz Salardani Senhorello, Laura Conti

Bibliographic record

VenueBrazilian Journal of Case Reports · 2022
Typearticle
Languagept
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePneumoniaGynecologyInternal medicine

Abstract

fetched live from OpenAlex

Pneumonia é uma das afecções de sistema respiratório mais comuns na rotina clínica de Medicina Veterinária, sendo caracterizada pelo processo inflamatório e/ou infeccioso do pulmão, atingindo brônquios, bronquíolos e alvéolos. Essa afecção pode ser causada por diversas etiologias, como bacteriana e fúngica, tendo as infecções fúngicas com menor incidência. O objetivo deste trabalho foi relatar um caso de pneumonia causada por fungo em cão, demonstrando os sinais clínicos, diagnóstico e tratamento do animal. Foi atendido em um Hospital Veterinário no município de Vila Velha, Espírito Santo, um canino, macho, Labrador, de 13 anos apresentando tosse persistente e dispneia expiratória, com histórico de tratamentos anteriores com antibióticos, corticóides e antitussígenos sem evolução positiva. O paciente foi submetido a realização de lavado broncoalveolar e amostras enviadas para análise citológica, cultura fúngica e bacteriana, tendo como diagnóstico a cultura fúngica positiva para Aspergillus. A partir do diagnóstico foi iniciado o tratamento com itraconazol 10mg/kg a cada 24 horas durante 30 dias. Foi realizado acompanhamento clínico e radiográfico no paciente, sendo observada melhora significativa imaginológica e clínica.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
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 score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0230.000

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 head0.281
Teacher spread0.267 · 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 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
Published2022
Admission routes1
Has abstractyes

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