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Record W4414254918 · doi:10.1002/vrc2.70205

Polyostotic lymphoma in a 7‐month‐old puppy ( <i>Canis familiaris</i> )

2025· article· en· W4414254918 on OpenAlexaboutno aff
Talwinderjeet Dhanjal, Jimmy C. Lattimer, Sidney N. Bogue, Jacqueline Nunnelley, Fred Williams

Bibliographic record

VenueVeterinary Record Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsLethargyPuppyLymphomaPalpationNon-Hodgkin's lymphomaLamenessLymphRadiographyShoulders

Abstract

fetched live from OpenAlex

Abstract A 7‐month‐old, male, entire labrador retriever was presented for evaluation of the sudden onset of clinical signs of progressive lethargy and decreased proprioception reported by the referring veterinarian. Upon physical and neurological examination, the patient exhibited reluctance to walk, a squatting posture, pain on palpation of the long bones, and an absent to diminished menace response. Radiographs revealed poorly marginated, large osteolytic lesions involving multiple long bones. Ultrasound‐guided fine‐needle aspirates were obtained from multiple bone lesions. Cytological evaluation of the aspirates indicated large cell lymphoma. The pet was euthanised due to the poor prognosis and severe clinical signs. At postmortem examination, large cell lymphoma was also identified in the kidneys, the axillary lymph nodes, cranial mediastinal lymph nodes and bone marrow, indicating Stage V lymphoma. T‐cell lymphoma was confirmed via CD3 immunohistochemistry staining.

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)0.001
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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.033
GPT teacher head0.342
Teacher spread0.309 · 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
Published2025
Admission routes1
Has abstractyes

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