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Record W2804362600 · doi:10.1093/cid/ciy439

Respiratory Syncytial Virus Hospitalization During Pregnancy in 4 High-income Countries, 2010–2016

2018· article· en· W2804362600 on OpenAlexafffund
Annette K. Regan, Nicola P. Klein, Gayle Langley, Steven J. Drews, Sarah A. Buchan, Sarah Ball, Jeffrey C. Kwong, Allison L. Naleway, Mark G. Thompson, Brandy E Wyant, Avram Levy, Hannah Chung, Becca Feldman, Mark A. Katz, Eduardo Azziz‐Baumgartner, Pat Shifflet, Rebecca V. Fink, Deshayne B. Fell, Dan Riesel, Michal Mandelboim, Paul V. Effler, Ned Lewis, Jonathan B. Gubbay, Timothy Karnauchow, Kevin Katz, Marek Smieja, Allison McGeer, Andrew E. Simor, David Richardso, Aharona Glatman‐Freedman

Bibliographic record

VenueClinical Infectious Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsInstitute for Clinical Evaluative SciencesPublic Health OntarioUniversity Health NetworkUniversity of TorontoProvincial Laboratory of Public HealthUniversity of AlbertaAlberta Health Services
FundersGoddard Space Flight CenterCenters for Disease Control and PreventionNational Institutes of HealthInstitute for Clinical Evaluative SciencesClalit Health ServicesSanofiGlaxoSmithKlineSanofi PasteurOntario Ministry of Health and Long-Term CareKaiser PermanentePfizer
KeywordsRespiratory systemPregnancyMedicinePneumoniaVirusPneumovirusRespiratory illnessIntensive care medicineVirologyPediatricsImmunologyParamyxoviridaeInternal medicineViral diseaseBiology

Abstract

fetched live from OpenAlex

Few studies have addressed respiratory syncytial virus (RSV) infection during pregnancy. Among 846 pregnant women hospitalized with respiratory illness and tested for RSV, 21 (2%) were RSV positive, of whom 8 (38%) were diagnosed with pneumonia. Despite study limitations, these data can help inform decisions about RSV prevention strategies.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.111
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
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 head0.039
GPT teacher head0.394
Teacher spread0.355 · 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

Citations21
Published2018
Admission routes2
Has abstractyes

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