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Leiomyosarcoma of the Kidney in a Dog

2003· article· en· W2089054751 on OpenAlexaboutno aff
T. Sato, Keiko Aoki, H. Shibuya, T. MACHIDA, Toshihiro WATARI

Bibliographic record

VenueJournal of Veterinary Medicine Series A · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRenal and related cancers
Canadian institutionsnot available
Fundersnot available
KeywordsDesminVimentinLeiomyosarcomaPathologyCytoplasmNucleolusAnatomyKidneyImmunohistochemistryAntibodyBiologyElectron microscopeIntermediate filamentCytoskeletonCellMedicineCell biologyEndocrinology

Abstract

fetched live from OpenAlex

A leiomyosarcoma that occurred in the right kidney of a dog (7-year-old female Labrador retriever) was studied pathologically. On histological examination, tumour cells were spindle-shaped, the cell density was high, and complex fasciculated tumour cells showing longitudinal and transverse cross-sections were observed. Both ends of the nuclei were rounded, the nucleoli were clear and many images of nuclear division were observed. Immunohistochemically, tumour cells reacted intensely with anti-vimentin antibody and anti-actin smooth muscle antibody, and mildly with anti-desmin antibody. On electron microscopy, the nuclei of tumour cells were rounded at both ends and elongated elliptically, and a large number of microfibrils with focal density and dense patches were observed in the cytoplasm. This is a case report of a very rare leiomyosarcoma of the dog kidney.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.155

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.269
Teacher spread0.256 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations28
Published2003
Admission routes1
Has abstractyes

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