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Record W2067247174 · doi:10.1097/nen.0000000000000005

Natalizumab-Associated Progressive Multifocal Leukoencephalopathy in a Patient With Multiple Sclerosis: A Postmortem Study

2013· article· en· W2067247174 on OpenAlexaff
Christian Wüthrich, Bogdan F. Gh. Popescu, Sarah Gheuens, Michael Marvi, Ronald Ziman, Stephen Pojen Denq, Mylyne Tham, Elizabeth Norton, Joseph E. Parisi, Xin Dang, Claudia F. Lucchinetti, Igor J. Koralnik

Bibliographic record

VenueJournal of Neuropathology & Experimental Neurology · 2013
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsCameco (Canada)
FundersNational Institute of Neurological Disorders and StrokeU.S. Public Health Service
KeywordsProgressive multifocal leukoencephalopathyNatalizumabJC virusMultiple sclerosisPathologyMedicineGliosisLeukoencephalopathyImmune reconstitution inflammatory syndromeSlow virusWhite matterFingolimodImmunologyVirusMagnetic resonance imagingViral load

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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

Citations22
Published2013
Admission routes1
Has abstractyes

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