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Record W4284896917 · doi:10.1097/inf.0000000000003634

Comprehensiveness of Testing Among Herpes Simplex Virus Infected Infants: A Multicenter Cohort Study

2022· article· en· W4284896917 on OpenAlexaff
Christopher M. Pruitt, Lise E. Nigrovic, Stephen B. Freedman, Stuart Bradin, Sarah Curtis, Todd W. Lyons, Aaron S. Miller, Pamela J. Okada, Suzanne M. Schmidt, David Schnadower, Joanna Thomson, Andrea T. Cruz

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsHerpes simplex virusMedicineCohortPopulationCohort studyVirologyHSL and HSVPediatricsVirusInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Despite clear testing recommendations for herpes simplex virus (HSV) infection in infants, few data exist on the comprehensiveness of HSV testing in practice. In a 23-center study of 112 infants with confirmed HSV disease, less than one-fifth had all recommended testing performed, highlighting the need for increased awareness of and adherence to testing recommendations for this vulnerable population.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.017
GPT teacher head0.278
Teacher spread0.261 · 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 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
Published2022
Admission routes1
Has abstractyes

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