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Exérese de tumor cutâneo em cão portador de hamartoma fibroanexial: Relato de caso

2022· article· en· W4308259669 on OpenAlexaboutno aff
Sabrina Da Silva Botelho, Patricia JAKOSKI

Bibliographic record

VenuePubVet · 2022
Typearticle
Languageen
FieldMedicine
TopicTumors and Oncological Cases
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Since the skin is the largest organ of the body, and having the function of a barrier between the external and internal environment and about 30% of the affections that occur in small animals are skin, we have the fibroadnexal hamartoma is considered a benign neoplasm, characterized by excessive growth. of cells and its composition is exclusively formed of normal tissue structures, deviated from their natural morphology. They are visible and common lesions in the canine epithelium, presenting as solitary, firm and delimited nodules, but the etiology of these lesions is still somewhat uncertain. The report is the case of an eleven-year-old female Labrador breed, where the tutor noticed a fast-growing nodule in the lower costal region. The recommended treatment was surgical removal with a safety margin and the removed sample was packaged and sent to the laboratory for biopsy and subsequent confirmation of the diagnosis.

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)0.004
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0040.003
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.289
Teacher spread0.270 · 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
Published2022
Admission routes1
Has abstractyes

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