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Avaliação ultrassonográfica do meato acústico em cães

2010· article· pt· W2066503291 on OpenAlexaboutno aff
Polyanne Cramer Schmidlin, Tilde Rodrigues Fróes, Daniela Aparecida Ayres Garcia, Helber Daniel Parchen, Fabiano Montiani‐Ferreira

Bibliographic record

VenuePesquisa Veterinária Brasileira · 2010
Typearticle
Languagept
FieldMedicine
TopicUltrasound Imaging and Elastography
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

O propósito deste trabalho foi determinar a viabilidade da ultrassonografia para avaliar o canal auditivo externo de cães, aferindo a espessura e arquitetura da parede do conduto auditivo e bula timpânica. Foram avaliados 10 cães da raça Retriever do Labrador não portadores de otite externa. O exame foi realizado com o aparelho de ultrassonografia bidimensional e transdutor linear de 14 MHz, com todos os animais sob efeito de anestesia geral. O exame foi efetivado antes e depois do conduto ser preenchido com solução salina, promovendo uma janela acústica anecóica. A artéria maxilar foi identificada com o Doppler colorido o que facilitou a localização da bula timpânica em todos os cães. A definição da imagem da parede proximal ao transdutor foi pior quando comparada à parede distal r em todos os animais, isto devido à proximidade da parede com a face de leitura do transdutor. Nos cães que apresentavam uma maior quantidade de cerúmen a superfície do epitélio estava com uma camada hiperecóica mais evidente. A membrana timpânica não foi identificada em nenhum animal. Conclui-se que ultrassonografia é viável e deve ser mais pesquisada na contribuição diagnóstica das doenças óticas em cães.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.004

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 head0.021
GPT teacher head0.288
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

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