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Record W2809763372 · doi:10.23907/2017.041

Sudden Death of a Young Man by Acute Hemorrhagic Leukoencephalitis

2017· article· en· W2809763372 on OpenAlexaff
Raheem Peerani, Meredith Berggren, Jayantha C. Herath

Bibliographic record

VenueAcademic Forensic Pathology · 2017
Typearticle
Languageen
FieldMedicine
TopicInfectious Encephalopathies and Encephalitis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAutopsyMedicinePathologyGross examinationWhite matterCause of deathForensic pathologyNeuropathologyAnatomyMagnetic resonance imagingRadiologyDisease

Abstract

fetched live from OpenAlex

We report a case of acute hemorrhagic leukoencephalitis in an adult man with a prodrome of "feeling unwell" two days prior to this death. At autopsy, external examination revealed minor external injuries including contusions on the scalp and left thigh and abrasions on the forehead and right eyebrow. Gross examination of the brain after coronal sectioning revealed multiple petechial hemorrhages in the white matter in the cerebral hemispheres, corpus callosum, basal ganglia, brainstem, and cerebellum. Microscopic examination of these lesions revealed demyelination, hemorrhage, and necrosis with fibrin exudation in a perivenular distribution with radial extension into the white matter. The remainder of the autopsy was unremarkable. This case highlights the death of a young man by a rare fatal complication of a natural disease only identified by a singular set of gross and microscopic findings at autopsy in circumstances that would otherwise suggest a nonnatural death. The case demonstrates the importance of a thorough autopsy in settings where the clinical history, scene, and circumstances may be misleading or absent.

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)0.003
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.305
Teacher spread0.286 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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