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Record W2989817764 · doi:10.35172/rvz.2019.v26.207

Ocorrência de tecoma (subtipo tumor estromal esclerosante) em cadela

2019· article· pt· W2989817764 on OpenAlexaboutno aff
Thaís de Almeida Moreira, William Torres Blanca, Suzana Akemi Tsuruta, Samyla de Almeida Silva, Mariana Ribeiro de Castro, Márcio de Barros Bandarra

Bibliographic record

VenueVeterinária e Zootecnia · 2019
Typearticle
Languagept
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMolecular biologyPhysicsHumanitiesChemistryBiologyPhilosophy

Abstract

fetched live from OpenAlex

O tecoma é uma neoplasia ovariana rara, sendo, portanto, escassas suas descrições na medicina veterinária. Uma de suas formas de apresentação é o tumor estromal esclerosante, representando cerca de 2-6% dos tumores estromais com origem no ovário. Este subtipo de tecoma ainda não foi descrito em cadelas. Este trabalho objetiva relatar a ocorrência de um tecoma de grandes dimensões, classificado como tumor estromal esclerosante. A cadela era da raça labrador, 10 anos de idade, e o diagnóstico foi estabelecido após exame necroscópico. O histórico clínico constava aumento de volume abdominal, diminuição da evacuação e presença de coágulos de sangue na urina. A avaliação histopatológica da massa demonstrou um agregado de células fusiformes, por vezes ovais, dispostas em feixes, com núcleo central, citoplasma claro de aspecto vacuolizado, indicando a presença de lipídios. O diagnóstico foi confirmado pela técnica histoquímica do Tricromio de Masson, permitindo observar a presença de fibras colágenas dispostas entre as células, concluindo o diagnóstico de tecoma do subtipo estromal esclerosante.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.796
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.019

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 head0.033
GPT teacher head0.321
Teacher spread0.288 · 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
Published2019
Admission routes1
Has abstractyes

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