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Record W1973420357 · doi:10.1086/377046

Quantification of the Influenza Virus Load by Real‐Time Polymerase Chain Reaction in Nasopharyngeal Swabs of Patients Treated with Oseltamivir

2003· article· en· W1973420357 on OpenAlexaff
Guy Boivin, Zoé Coulombe, Cynthia Wat

Bibliographic record

VenueThe Journal of Infectious Diseases · 2003
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsUniversité LavalCentre hospitalier de l'Université Laval
Fundersnot available
KeywordsOseltamivirVirusViral loadPolymerase chain reactionMedicineReal-time polymerase chain reactionVirologyInternal medicineGroup AImmunologyGastroenterologyCoronavirus disease 2019 (COVID-19)BiologyGeneDisease

Abstract

fetched live from OpenAlex

Influenza A virus load was assessed by real-time polymerase chain reaction (PCR) in nasopharyngeal swabs of infected patients treated with oseltamivir. The mean pretreatment virus load was significantly lower in the 24 patients (group A) who initiated treatment within 24 h of the onset of symptoms than it was in the 26 patients (group B) who initiated treatment between 24 and 48 h (1.6x105 vs. 8.4x105 copies/600 ng of total RNA, P=.04); after 48 h of treatment, twice as many patients in group B still had a positive PCR result, compared with patients in group A (42.3% vs. 20.7%). These virological results support the clinical benefit provided by early therapeutic intervention of influenza illness.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.018
GPT teacher head0.296
Teacher spread0.279 · 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

Citations45
Published2003
Admission routes1
Has abstractyes

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