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Record W4367395735 · doi:10.51891/rease.v9i4.9259

MASTOCITOMA EM CANINO: RELATO DE CASO

2023· article· pt· W4367395735 on OpenAlexaboutno aff
Sayuri Priscila Kawatoko Almeida, Sabrina da Silva Botelho, Vanessa Ingrid Jaines

Bibliographic record

VenueRevista Ibero-Americana de Humanidades, Ciências e Educação · 2023
Typearticle
Languagept
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBeagleGynecologyInternal medicine

Abstract

fetched live from OpenAlex

O mastocitoma é uma neoplasia maligna onde ocorre proliferação anormal dos mastócitos, acometendo com maior frequencia cães com idade entre oito a nove anos, sem predisposição por sexo, sendo predisposto as raças Boxer, Boston Terrier, Bull Terrier, Labrador Retriever, Fox Terrier, Beagle, Schnauzer, Daschund, Buldogue Inglês, Cocker Spaniel. O tumor se apresenta consistência macia a firme de coloração diversa, mas principalmente branca e vermelho, com desenvolvimento de nódulos solitários, duros, eritematosos e ulcerativos, além da ocorrência da formação de placas, além do aumento de volume, vermelhidão e prurido no local. São classificados em três graus de malignidade, tumores em graus I (bem diferenciado), grau II (moderadamente diferenciado) e grau III (pouco diferenciado), essa classificação é para auxiliar o clínico no tratamento a ser realizado, o prognóstico vai depender da localização, número de tumor e presença de ulceração. Objetivou-se com este trabalho, relatar um caso de mastocitoma de grau II em um cão, da raça Pinscher, com quinze anos de idade dando ênfase a conduta terapêutica e bem-estar animal.

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)0.004
metaresearch head score (Gemma)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0080.010

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 head0.059
GPT teacher head0.365
Teacher spread0.306 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRevista Ibero-Americana de Humanidades, Ciências e EducaçãoSame topicVeterinary Oncology ResearchFrench-language works237,207