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Record W2010766933 · doi:10.1212/wnl.0b013e3182a2cc4a

Glatiramer acetate–induced acute hepatotoxicity in an adolescent with MS

2013· article· en· W2010766933 on OpenAlex
Naila Makhani, Bo‐Yee Ngan, Binita M. Kamath, E. Ann Yeh

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNeurology · 2013
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsHospital for Sick Children
FundersSickkids Research InstituteHospital for Sick ChildrenMultiple Sclerosis Society of CanadaRare Disease FoundationCanadian Institutes of Health ResearchTeva Pharmaceutical IndustriesDairy Farmers of OntarioNational Institutes of HealthAmerican Liver FoundationEMD SeronoNational Multiple Sclerosis Society
KeywordsGlatiramer acetateMultiple sclerosisMedicineInternal medicinePharmacologyImmunology

Abstract

fetched live from OpenAlex

Glatiramer acetate (GA), a synthetic copolymer, is a frequently used first-line treatment for relapsing-remitting multiple sclerosis (RRMS). Probable autoimmune hepatotoxicity during GA treatment has been reported,1–4 but GA hepatotoxicity in the absence of positive autoimmune markers has not previously been described. Here, we report GA-induced hepatotoxicity in a pediatric patient with multiple sclerosis (MS). Acknowledgement: The authors thank Lynn MacMillan for assistance in acquiring patient data for this report.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.107
GPT teacher head0.391
Teacher spread0.284 · 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