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Record W4401934467 · doi:10.1093/ofid/ofae449

Outcomes of Antiviral Retreatment for Immunocompromised Hosts With Prolonged Severe Acute Respiratory Syndrome Coronavirus 2 Polymerase Chain Reaction Positivity: A Multicenter Australian Retrospective Case Series

2024· article· en· W4401934467 on OpenAlexfundno aff
Katherine Bond, Claire Dendle, S Guy, Monica A. Slavin, Olivia Smibert, Nuhad K. Ibrahim, Paul Kinsella, C. Orla Morrissey, Michael A. Moso, Joe Sasadeusz

Bibliographic record

VenueOpen Forum Infectious Diseases · 2024
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMedical Research CouncilInstitute of Infection and ImmunityDoherty Institute
KeywordsMedicineRetrospective cohort studyClearanceCoronavirusPolymerase chain reactionCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyInternal medicineCohortImmunologyDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Outcomes are presented for a multisite retrospective case series, describing a contemporary cohort of 22 immunocompromised patients with persistent coronavirus disease 2019 (COVID-19) polymerase chain reaction positivity who were retreated with antiviral therapy. For those with data available 14 and 30 days after commencement of antiviral therapy, 41% (9 of 22) and 68% (15 of 22), respectively, cleared COVID-19.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.024
GPT teacher head0.350
Teacher spread0.326 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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