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Record W2531217058 · doi:10.22256/pubvet.v8n22.1813

Retalho de avanço associado ao triângulo de bürrow após exerese de cisto infundibular em um cão: relato de caso

2015· article· en· W2531217058 on OpenAlexaff
Luiz Augusto de Souza, Nadine Bou Fares, Taís Andrade Dias, Carolina Silva Ramos, Danilo Ferreira Rodrigues, Tamires de Paula e Silva, Laiz Alves Pereira, Luíza Fernandes de Sousa

Bibliographic record

VenuePubVet · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsMedicineBandageSurgeryCyst

Abstract

fetched live from OpenAlex

Cutaneous cysts in dogs and cats are characterized by an epithelial wall and a content that generally is keratin. Most cysts have follicular origin and good prognostic. Surgical removal is recommended and as a result it has a large surgical defect that typically requires technical knowledge of reconstructive plastic surgery for occlusion. This report describes the case of a female boxer dog that had a nodule on the head. After clinical and laboratory examination was recommended removal of the lump and the execution of an histopathologic exam. The surgical procedure demanded to perform an unilateral advancement flap associated with Bürrow’s triangle, to approach the wound edges that were under high tissue tension. In postoperative was made a bandage to avoid formation. The histopathologic exam revealed it to be an infundibular cyst, that is usual in dogs.

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)0.002
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.280
Teacher spread0.253 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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