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Record W4385670899 · doi:10.14300/mnnc.2023.18030

Clinical features and outcomes of meningitis for children in the republic of North Ossetia–Alania

2023· article· en· W4385670899 on OpenAlexaff
Marina Golubeva, Zalina Vladimirovna Bolloeva, Araratovna Musaelyan Olga, L.A. Garbuz, Oleg Agranovich, Larisa Pogorelova, I.V. Vinyarskaya, В. В. Черников

Bibliographic record

VenueMedical news of the North Caucasus · 2023
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsMeningitisMedicinePediatricsEnvironmental health

Abstract

fetched live from OpenAlex

The study was to determine regional characteristics and outcomes of meningitis in 105 children. Purulent meningitis developed in young children (56.7 %) and was accompanied by severe (85.1 %) forms, risks of infectious (29.9 %) and neurological (20.9 %) complications, and a protracted course (65.7 %). Children with serous meningitis had an underlying pathology (52.6 %), partial meningeal syndrome (79.0 %), and developed meningoencephalitis or meningoencephalomyelitis (55.3 %). During the recovery period, the frequency and range of neurological disorders in purulent and serous meningitis were not different. Still, in the long term, a range of neurological disorders in children with bacterial meningitis and a decrease in QOL was identified.

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 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)0.002
metaresearch head score (Gemma)0.004
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 score0.040
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.052
GPT teacher head0.423
Teacher spread0.372 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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