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Record W4317469264 · doi:10.1159/000528534

SARS-CoV-2 Infection of Young Infants during the Omicron Wave: A Case Series

2023· article· en· W4317469264 on OpenAlexaff
Najmus Sehr Ansari, Douglas C. Watson, Douglas M. Campbell, Mohammed A. Sarhan, Ari Bitnun, Estelle B. Gauda

Bibliographic record

VenueBiomedicine Hub · 2023
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsSt. Michael's HospitalSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPresentation (obstetrics)PediatricsMedicineRespiratory distressApneaNeonatal intensive care unitCoronavirus disease 2019 (COVID-19)DiseaseInternal medicineSurgeryInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

We describe the clinical course of 4 infants infected with severe acute respiratory syndrome coronavirus 2. All were admitted to our tertiary care neonatal intensive care unit during the Omicron variant wave in our region. All 4 infants, who were less than 3 months of age, including three born prematurely, presented with critical illness. However, their clinical presentation varied considerably. Of them, two infants presented with apnea, one with respiratory distress, and one with gastrointestinal manifestation. Our experience with these four infants provides evidence for a severe form of disease and varied clinical presentation in neonates and young infants speculated to be infected with Omicron variant.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.046
GPT teacher head0.347
Teacher spread0.302 · 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 designCase report
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
Published2023
Admission routes1
Has abstractyes

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