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Antenatal seroprevalence of herpes simplex virus type 2 (HSV-2) in Canadian women: HSV-2 prevalence increases throughout the reproductive years.

2001· book-chapter· en· W11460028 on OpenAlexaffabout
Ruth Lewis

Bibliographic record

VenuePubMed · 2001
Typebook-chapter
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsBC Centre for Disease Control
Fundersnot available
KeywordsNegotiationPsychologyDevelopmental psychologySociologySocial science

Abstract

fetched live from OpenAlex

BACKGROUND: This study sought to provide the first population estimates of herpes simplex type 2 (HSV-2) seroprevalence in Canada. GOAL: To measure the antenatal seroprevalence of HSV-2 antibodies in reproductive age women. STUDY DESIGN: An anonymous unlinked seroprevalence study used stored sera collected from pregnant women in British Columbia during 1999. Randomized sampling within age strata selected a total of 1215 subjects, ages 15 to 44 years. Serologic testing used the Gull Meridian Test. Overall prevalence was directly standardized to the 1999 Canadian female population. RESULTS: The age-adjusted prevalence for HSV-2 was 17.3% (95% CI, 15.2-19.4). Prevalence ranged from 7.1% (ages, 15-19 years) to 28.1% (ages, 40-44 years), with the largest increases after the age of 24 years. CONCLUSIONS: The HSV-2 seroprevalence among pregnant women in British Columbia is similar to that in the United States and other countries. Seroprevalence continues to rise through the later reproductive years. This observation may relate to continued transmission, an age cohort effect, or both.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.293
Teacher spread0.250 · 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

Citations8
Published2001
Admission routes2
Has abstractyes

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