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JC virus granular neuronopathy and rhombencephalic progressive multifocal leukoencephalopathy: Case report and review of the literature

2011· article· en· W1917335372 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeuropathology · 2011
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsUniversity of TorontoHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsNeuropathologyProgressive multifocal leukoencephalopathyGliosisPathologyCerebellumGranular layerSarcoidosisJC virusLeukoencephalopathyPathogenesisMedicineNeuroscienceVirusBiologyVirologyDisease

Abstract

fetched live from OpenAlex

JC virus (JCV) granular neuronopathy remains an under-appreciated phenomenon whereby JCV inhabits neurons in the granular layer of the cerebellum causing neuronal loss, gliosis and a clinical cerebellar syndrome. The following case describes a man with sarcoidosis and idiopathic leukopenia who developed a clinical cerebellar syndrome due to JCV granular neuronopathy, followed by neurological decline due to rhombencephalic progressive multifocal leukoencephalopathy. This case reminds us of the ability of JCV to produce dual neuropathology which includes JCV granular neuronopathy, and the pathogenesis and clinical implications for this phenomenon are discussed.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.160
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.016
GPT teacher head0.263
Teacher spread0.246 · 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