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Record W2034184644 · doi:10.1586/eri.12.55

Prevention, recognition and management of neonatal HSV infections

2012· review· en· W2034184644 on OpenAlexaff
Joan Robinson, Wendy Vaudry, Sarah Forgie, Bonita E. Lee

Bibliographic record

VenueExpert Review of Anti-infective Therapy · 2012
Typereview
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsStollery Children's HospitalUniversity of Alberta
Fundersnot available
KeywordsHSL and HSVAsymptomaticMedicineTransmission (telecommunications)Neonatal infectionNeonatal sepsisPediatricsSepsisIntensive care medicineImmunologyPregnancyInternal medicineVirusBiology

Abstract

fetched live from OpenAlex

Neonatal HSV is most commonly transmitted at the time of delivery with the risk being dramatically higher if the mother has first-episode genital HSV and does not have an elective Cesarean section. Maternal HSV type-specific serology can be used to differentiate first-episode from recurrent infection in this setting, allowing for use of empiric acyclovir for the highest risk infants. There is a need for new strategies as current methods of prevention of transmission of HSV to neonates have limited effectiveness, as they do not account for the fact that the majority of transmission occurs from asymptomatic women. After transmission has occurred, early recognition of neonatal HSV improves the prognosis. Diagnosis needs to be considered in all infants who develop vesicles, unexplained seizures, or possible sepsis in the first 5 weeks of life.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.092
GPT teacher head0.410
Teacher spread0.318 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations17
Published2012
Admission routes1
Has abstractyes

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