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Human Coronavirus NL-63 Infections in Children: a 1-Year Study

2005· article· en· W2097157585 on OpenAlexaff
Nathalie Bastien, Joan Robinson, Alena Tse, Bonita E. Lee, Laura Hart, Yan Li

Bibliographic record

VenueJournal of Clinical Microbiology · 2005
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsStollery Children's HospitalUniversity of AlbertaPublic Health Agency of Canada
Fundersnot available
KeywordsVirologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CoronavirusCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakBetacoronavirusCoronavirus InfectionsMedicineBiologyOutbreakInfectious disease (medical specialty)Pathology

Abstract

fetched live from OpenAlex

Human coronavirus NL63 (HCoV-NL63), a newly discovered coronavirus, has been associated with acute respiratory tract infections (ARI). Important questions pertaining to the contribution of HCoV-NL63 to ARI and its impact on public health remain. We reviewed HCoV-NL63 in specimens collected from 13 November 2002 to 31 December 2003 from the Stollery Children's Hospital on patients of <17 years of age to assess the role of this virus in ARI in children. Twenty-six of 1,240 specimens (2.1%) from seven outpatients and 19 inpatients aged 7 days to 9.5 years tested positive for HCoV-NL63 by reverse transcription-PCR. The majority of outpatients (86%) had upper respiratory tract infections, while the majority of inpatients (58%) had bronchiolitis. Peak HCoV-NL63 activity occurred in March. These results provide further evidence of the importance of HCoV-NL63 in ARI in children.

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 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)0.002
metaresearch head score (Gemma)0.001
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 score0.090
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.104
GPT teacher head0.488
Teacher spread0.385 · 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 teacher head, 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

Citations92
Published2005
Admission routes1
Has abstractyes

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