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Record W4317883570 · doi:10.34188/bjaerv5n4-069

Canine cutaneous mast cell tumor: a retrospective study

2022· article· pt· W4317883570 on OpenAlexaboutno aff
Lucas Santos de Melo Braga, Caroline Yungtay, Leandra Gomes Sanches Nunes Dos Santos, Sayonara Christina de Souza Do Rosario, Maria de Lourdes Gonçalves Ferreira, Juliana da Silva Leite, Ana Maria Reis Ferreira, Marcela Vallim Freire De Mello

Bibliographic record

VenueBrazilian Journal of Animal and Environmental Research · 2022
Typearticle
Languagept
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMast cellBiologyPathologyMedicineMolecular biologyImmunology

Abstract

fetched live from OpenAlex

O mastocitoma cutâneo (MCT) é uma neoplasia de células redondas caracterizada pela proliferação de mastócitos e possui uma grande variação de potencial metastático. O presente estudo teve como objetivo analisar a frequência de MCT cutâneo canino quanto à raça, sexo, idade, localização anatômica e grau histológico. Os dados foram obtidos dos registros dos casos diagnosticados entre 2014 e 2018 na cidade de Niterói - RJ. Os animais mais acometidos foram os sem raça definda (SRD) seguidos da raça Boxer e Labrador. Os locais mais acometidos foram membros, região anogenital e abdome. O MCT cutâneo canino é mais frequente no grau I, na população canina mais velha e nos animais sem raça definida.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.042
GPT teacher head0.345
Teacher spread0.303 · 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 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueBrazilian Journal of Animal and Environmental ResearchSame topicVeterinary Oncology ResearchFrench-language works237,207