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Técnica de rinoplastia com uso de bisturi ultrassônico em felino da raça Persa

2021· article· en· W3208364504 on OpenAlexaff
F. J. R. Gomes, Debora Rodriguez Ferreira, Ivan Torres Gregório Da Silva, Thainá Elis Fonseca de Aquino

Bibliographic record

VenuePubVet · 2021
Typearticle
Languageen
FieldMedicine
TopicCongenital Ear and Nasal Anomalies
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

The nostril stenosis is considered a primary alteration in brachycephalic syndrome, which features a narrow nasal opening limiting the air passage, being easy to be externally noted. Dogs and cats that show stenosed nostrils have great respiratory effort, tiredness, and snoring. The treatment is surgical correction through the rhinoplasty procedure. Considering that the brachycephalic syndrome is progressive, the prognosis becomes favorable when animals are taken under surgery when the syndrome has not advanced so much. The present report aims to present a nine-year-old Persian cat with a history of intolerance to exercises and frequent nasal discharge. A the animal was submitted to the rhinoplasty procedure with the use of the ultrasonic scalpel, which led to a faster surgical recovery and immediate post-surgical, already showing clinical signs of improvement.

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)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.017
GPT teacher head0.268
Teacher spread0.251 · 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
Published2021
Admission routes1
Has abstractyes

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