MétaCan
Menu
Back to cohort
Record W2112677717 · doi:10.1093/tropej/fms019

HIV-Exposed Uninfected Infants are at Increased Risk for Severe Infections in the First Year of Life

2012· article· en· W2112677717 on OpenAlex
Amy L. Slogrove, Brian A. Reikie, Sanushka Naidoo, Corena de Beer, Kevin Ho, Mark F. Cotton, Julie A. Bettinger, David P. Speert, Monika Esser, Tobias R. Kollmann

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Tropical Pediatrics · 2012
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchU.S. Public Health ServiceNational Health Laboratory ServiceHospital for Sick ChildrenHarry Crossley FoundationPoliomyelitis Research FoundationMichael Smith Health Research BCBC Children's HospitalNational Institutes of HealthChildren's Hospital Foundation
KeywordsMedicineMalnutritionHuman immunodeficiency virus (HIV)CohortPediatricsCohort studyPopulationEnvironmental healthImmunologyInternal medicine

Abstract

fetched live from OpenAlex

HIV-exposed uninfected (HEU) infants have higher infectious morbidity than HIV-unexposed uninfected (HUU) infants. We present the clinical outcomes from a pilot cohort study of 27 HEU and 28 HUU infants. In the absence of infant malnutrition or advanced maternal HIV, HEU infants experienced a 2.74 (0.85-8.78) times greater risk of hospitalization in the first year.

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)0.007
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 score0.051
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.007
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 integrity0.0000.000
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 head0.022
GPT teacher head0.299
Teacher spread0.277 · 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