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Record W2036211987 · doi:10.1002/art.21144

Angiography‐negative primary central nervous system vasculitis in children: A newly recognized inflammatory central nervous system disease

2005· article· en· W2036211987 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

VenueArthritis & Rheumatism · 2005
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsSickKids FoundationUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMedicineVasculitisCentral nervous systemBrain biopsyAngiographyAspirinMagnetic resonance imagingMagnetic resonance angiographyBiopsyPathologyCerebral angiographyRadiologyKawasaki diseaseDiseaseSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Inflammatory central nervous system (CNS) diseases in childhood comprise a wide spectrum of heterogeneous conditions. We studied 4 children with primary CNS vasculitis in whom results of magnetic resonance imaging studies were abnormal but results of conventional angiography were normal. We determined that angiography-negative, biopsy-confirmed primary small-vessel CNS vasculitis is a previously unrecognized distinct disease entity in children. The diagnosis must be considered in a child with a progressive, acquired diffuse or focal neurologic deficit, even if the results of conventional angiography are normal. A lesional brain biopsy is required to confirm the diagnosis. Use of immunosuppressive therapy plus aspirin leads to an excellent neurologic outcome.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.188
Teacher spread0.184 · 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