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Record W3127869494

Soft tissue sarcoma at the site of a previous laparoscopic-assisted gastropexy in a dog.

2021· article· en· W3127869494 on OpenAlexaffabout
Gabriella Allegrini, Alex zur Linden, Ameet Singh, Danielle Richardson, Laura Bassel

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsGastropexyMedicineSoft tissueSoft tissue sarcomaSarcomaAbdomenSurgerySurgical resectionAnatomyPathology
DOInot available

Abstract

fetched live from OpenAlex

An 8-year-old, spayed female, Doberman pinscher dog was presented to the Ontario Veterinary College Health Sciences Center for evaluation of a large subcutaneous mass on the right cranial ventral abdomen. Computed tomography localized a 6 × 7 cm soft tissue mass to the site of a laparoscopic-assisted gastropexy performed 3 years earlier. Body wall resection with wide surgical margins was performed. Histological evaluation identified the mass as a grade III soft tissue sarcoma with clean surgical margins. To the authors' knowledge, this report is the first to detail a case of a soft tissue sarcoma that is suspected to have originated at and/or infiltrated into tissues that were previously incised during a surgical procedure. Key clinical message: Based on this case, there is a possibility of a clinical correlate to the feline injection site sarcoma in the canine species.

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 integrity0.0030.002
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 head0.048
GPT teacher head0.330
Teacher spread0.282 · 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
Published2021
Admission routes2
Has abstractyes

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