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Record W2185932818 · doi:10.1177/1040638715608216

An unusual lipomatous brain mass in a Golden Retriever dog

2015· article· en· W2185932818 on OpenAlexaff
Steven J. Scott, Kirsty Elliot, H Philibert, Brian A. Summers, Dale L. Godson, Baljit Singh, Elemir Simko

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2015
Typearticle
Languageen
FieldMedicine
TopicTumors and Oncological Cases
Canadian institutionsShared HealthUniversity of Saskatchewan
Fundersnot available
KeywordsPathologyAnatomyHamartomaSynaptophysinMedicineGlial fibrillary acidic proteinLesionCortex (anatomy)BiologyImmunohistochemistryNeuroscience

Abstract

fetched live from OpenAlex

A 9-year-old Golden Retriever dog was presented to the Veterinary Medical Center with a 3-week history of grand mal seizures and was subsequently euthanized. At autopsy, a discrete, firm, expansile mass was found in the right pyriform lobe, which compressed the ipsilateral hippocampus, thalamus, and cerebral cortex. Histologically, the mass was composed of well-differentiated adipose tissue supported by fibrous and mucinous stroma. Adipocytes exhibited strong immunoreactivity for vimentin and were negative for pancytokeratin (AE1/AE3), glial fibrillary acidic protein, neuron-specific enolase, and synaptophysin. These findings are most compatible with an intracranial lipomatous hamartoma, which is an extraparenchymal lesion that has been identified in several species. The current report describes an intracerebral lipomatous hamartoma in a veterinary 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 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)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 head0.075
GPT teacher head0.346
Teacher spread0.271 · 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 designObservational
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

Citations6
Published2015
Admission routes1
Has abstractyes

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