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Record W2038448585 · doi:10.1177/1040638711425570

Reports of oligodendrogliomas in three white-tailed deer ( <i>Odocoileus virginianus</i> )

2011· article· en· W2038448585 on OpenAlexaff
Nicole Gottdenker, Richard W. Gerhold, Andrew N. Cartoceti, M. Kevin Keel, James P. Goltz, Elizabeth W. Howerth

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2011
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsGovernment of New Brunswick
FundersKansas Department of Wildlife and ParksUniversity of GeorgiaLouisiana Department of Wildlife and Fisheries
KeywordsOdocoileusPathologyImmunohistochemistryBiologyOligodendrogliomaCentral nervous systemAnatomyGlial fibrillary acidic proteinStainingWhite matterZoologyAstrocytomaMedicineGlioma

Abstract

fetched live from OpenAlex

Central nervous system tumors are rarely reported in cervids. The current report describes gross and histopathologic oligodendrogliomas in 3 white-tailed deer (Odocoileus virginianus), and selected immunohistochemical properties of 2 deer. All deer were euthanized due to central nervous system signs. Grossly, masses were variably circumscribed, locally invasive in the brain, light grey, and soft, and ranged from 2 to 5 cm in diameter. Histologically, tumors were characteristic for oligodendroglioma. The tumors were composed primarily of oval to round cells with round normochromatic to hyperchromatic nuclei, a pale granular cytoplasm, and well-delineated cytoplasmic membrane, and variable amounts of mucinous material, hemorrhage, and dystrophic mineralization. Immunohistochemistry, performed on masses from 2 deer, had positive cytoplasmic staining for S100 and variable staining on glial fibrillary acidic protein (1 deer negative and the other with rare positivity in astrocytes within the mass). This manuscript includes a discussion on the significance of these findings relative to central nervous system tumors of cervids and oligodendrogliomas from other 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)0.001
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 score0.019
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.048
GPT teacher head0.269
Teacher spread0.220 · 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
Published2011
Admission routes1
Has abstractyes

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