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Record W2762241747 · doi:10.1002/jmv.24957

A concordance study of the Altona RealStar Varicella‐Zoster virus real‐time quantitative PCR and in‐house conventional qualitative PCR

2017· article· en· W2762241747 on OpenAlexaff
Simon Grandjean Lapierre, Karel Boissinot, Christian Renaud

Bibliographic record

VenueJournal of Medical Virology · 2017
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsVaricella zoster virusConcordanceReal-time polymerase chain reactionMedicineVirologyKappaVirusCerebrospinal fluidBiologyInternal medicineGenetics

Abstract

fetched live from OpenAlex

This study compared the Altona RealStar™ VZV Kit 1.0 real time quantitative VZV PCR with in‐house qualitative conventional VZV PCR on cerebrospinal fluid, mucocutaneous, and other uncommon clinical specimens. Overall, positive and negative agreement percentages were respectively 97.9% (95%CI: 93.8‐99.6), 100.0% (95%CI: 93.1‐100.0), and 96.3% (95%CI: 89.4‐99.2) while Cohen's kappa statistic value was 0.96 (95%CI: 0.91‐1.00). RealStar™ VZV quantitative PCR assay reported average quantitative viral loads of 4.4 × 105 and 1.1 × 107 copies/mL in cerebrospinal fluid and cutaneous specimens, respectively (P < 0.01). RealStar™ VZV PCR assay showed excellent agreement with in house conventional assay for various clinical specimens.

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)0.027
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.058
GPT teacher head0.412
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 designBench or experimental
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

Citations0
Published2017
Admission routes1
Has abstractyes

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