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Record W2622610816

Teratoma ovariano maligno em cadela gestante

2008· article· pt· W2622610816 on OpenAlexaboutno aff
Karina Oliveira Drumond, Ana Maria Quessada, Lucilene dos Santos Silva, Nádia Expedita de Almeida e Cruz, Francisco Assis Lima Costa, Silvana Maria Medeiros de Sousa Silva

Bibliographic record

VenueCiência Veterinária nos Trópicos · 2008
Typearticle
Languagept
FieldVeterinary
TopicVeterinary Medicine and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsPalpationExploratory laparotomyMedicineOvaryLaparotomyMetastasisUterusAnorexiaSurgeryAnatomyPathologyCancerInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

A Labrador female dog, two years old, was presented at the University Veterinary Hospital of the Piaui Federal University with bloody diarrhea, anorexia, and vomit after parturition. At abdominal palpation a large round mass with firm consistence was verified, which was confirmed by an ultrasonographic exam. In the exploratory laparotomy, a mass with approximately 20 cm of the diameter in the left ovary was seen. The mass was involved by omentum, which had innumerable nodulations. The tumor, omentum, right ovary, and uterus were removed. In transversal cut surface, there were cysts with grayish semi-solid material, hair, fibrous and osseous tissue. After surgical procedure, the animal died. Histologically, several types of tissues and cells were observed. The diagnostic was malignant ovarian teratome due to metastasis. The case was considered interesting because the dog became pregnant and delivered normally even with a large tumor in the left ovary. The objective of this report is to relate a rare case of ovarian malignant teratome in a female dog.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.093
GPT teacher head0.303
Teacher spread0.211 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

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