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Record W2000857671

Atypical Imaging Findings of Posterior Reversible Encephalopathy Syndrome in a Child: Case Report and Review of Literature

2014· article· en· W2000857671 on OpenAlexvenueno aff
Güliz Yılmaz, Taylan Şahín

Bibliographic record

VenueInternational Journal of Clinical Pediatrics · 2014
Typearticle
Languageen
FieldMedicine
TopicNeurological Complications and Syndromes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWhite matterPosterior reversible encephalopathy syndromeConfusionMagnetic resonance imagingBasal gangliaEtiologyOccipital lobeEncephalopathyFrontal lobeBrain edemaHyperintensityHypertensive encephalopathyPediatricsPathologyRadiologyInternal medicineCentral nervous systemPsychiatryPsychology
DOInot available

Abstract

fetched live from OpenAlex

Posterior reversible encephalopathy syndrome (PRES) is a clinico-radiological entity that is caused by various etiological factors and characterized by headache, confusion, seizure, altered consciousness, visual disturbances and combination of these symptoms. Brain magnetic resonance imaging demonstrates vasogenic edema in the white matter of the parietooccipital lobes typically. Other regions of the brain such as frontal lobe, basal ganglia and deep white matter are affected in patients with atypical PRES. In this report, we present the radiological findings of atypical PRES in a hypertensive child with end stage renal disease and review the current literature related to this situation. Int J Clin Pediatr. 2014;3(1):29-32 doi: http://dx.doi.org/10.14740/ijcp142w

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.

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: none
Teacher disagreement score0.005
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.375
Teacher spread0.348 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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