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Record W3034451025 · doi:10.1136/vetreccr-2019-001062

Clinical and imaging features of suspected pituitary apoplexy in a domestic rat

2020· article· en· W3034451025 on OpenAlexaff
Stephen Everest, Tobias Schwarz, D. Barney Walker, Kevin Eatwell, Katia Marioni‐Henry

Bibliographic record

VenueVeterinary Record Case Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsUniversity of GuelphGuelph General Hospital
Fundersnot available
KeywordsMedicineLethargyAtrophyPituitary apoplexyNeurological examinationPituitary glandLesionPhysical examinationWhite matterPathologyMagnetic resonance imagingRadiologyPituitary adenomaSurgeryInternal medicineAdenoma

Abstract

fetched live from OpenAlex

A two‐year‐ten‐month‐old entire female fancy rat was evaluated for acute‐onset neurological signs following a two‐month history of lethargy and behavioural changes. Physical examination revealed generalised muscle atrophy. Neurological examination localised the lesion likely to the right thalamus based on suspected left unilateral hemineglect. The patient was euthanased over quality‐of‐life concerns, and postmortem MRI of the brain was performed, followed by postmortem examination. This showed a lesion in the region of the pituitary which was T1 hyperintense to the brain, T2 isointense to the white matter and hypointense on gradient echo sequences, suggesting subacute haemorrhage. The authors described the clinical presentation and imaging features (MRI) of suspected pituitary apoplexia secondary to a pituitary macroadenoma in an aged female rat. Of particular interest are the findings of unilateral hemineglect and blooming artefact on MRI gradient echo sequences that lead to suspicion of pituitary apoplexia confirmed on postmortem examination.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.336
Teacher spread0.299 · 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
Published2020
Admission routes1
Has abstractyes

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