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Record W1964457788 · doi:10.1177/197140091202500611

Pediatric Inflammatory Diseases

2012· article· en· W1964457788 on OpenAlex
Alessandra Splendiani, Alessia Catalucci, Nicola Limbucci, M. Turner, Timo Krings, Michele Gallucci

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

VenueThe Neuroradiology Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsVasculitisMedicineDifferential diagnosisCerebral vasculitisPathologyCentral nervous systemAngiographyBrain biopsyMagnetic resonance angiographyDiseaseRadiologyMagnetic resonance imagingInternal medicine

Abstract

fetched live from OpenAlex

Central nervous system (CNS) vasculitis can affect both adults and children, but some of these occur almost exclusively in childhood. In children may develop as a primary condition or secondary to an underlying systemic disease. Cerebral vasculitis can be classified on the basis of the diameter of the involved vessels, although there is no univocal consensus. The diagnosis of CNS vasculitis is particularly difficult because the available investigative modalities have limited sensitivities and specificities. The most helpful diagnostic tests include cerebrospinal fluid analysis, MRI (MR angiography/venography (MRA/MRV) of the brain, and angiography. However, brain biopsy may be required to diagnose small vessel vasculitis in order to make differential diagnosis with a wide range of conditions, such as degenerative vasculopathies, embolic diseases, or coagulation disorders. This paper discusses on current understanding of most frequent primary and secondary central nervous system vasculitis in children in which are involved small vessel.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.305

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 integrity0.0000.001
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 head0.011
GPT teacher head0.247
Teacher spread0.235 · 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