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Record W2318481392 · doi:10.1136/vetreccr-2013-000029

Histiocytic sarcoma in a flat‐coated retriever with central and peripheral nervous system sarcomatosis

2014· article· en· W2318481392 on OpenAlexaboutno aff
A. Marcinowska, Fernando Constantino‐Casas, Jane Dobson

Bibliographic record

VenueVeterinary Record Case Reports · 2014
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHistopathologyPathologyHistiocytic sarcomaCauda equinaLabrador RetrieverSpinal cordSarcomaAtaxiaHistiocyteRadiation therapyExtramedullary hematopoiesisNerve rootAnatomyRadiology

Abstract

fetched live from OpenAlex

A six‐year‐old male, neutered, flat‐coated retriever presented with a suspicion of localised histiocytic sarcoma (HS) in the right axillary region, fine needle aspirate was suggestive of HS. The dog was prescribed four doses of radiotherapy (4×850 cGy). At the first treatment tru‐cut biopsies of the mass were taken, and histopathology was consistent with the cytological diagnosis. At the third treatment, the dog developed five cutaneous nodules, and microscopy confirmed HS. Seven weeks after radiotherapy, the patient presented with severe progressive hind limb ataxia and a flaccid tail. Due to the severity of clinical signs, euthanasia was performed. Postmortem examination revealed neoplastic cells within the right axillary mass, liver, kidney, adrenal gland and diffusely infiltrating the brain, lumbar spinal cord, cauda equina and spinal nerves, consistent with metastatic HS. This case is unusual in the diffuse and infiltrative dissemination of the tumour throughout the CNS and nerve roots.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.287
Teacher spread0.260 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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