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Comparative Evaluation of Real-Time PCR Assays for Detection of the Human Metapneumovirus

2003· article· en· W2074978731 on OpenAlexaff
Stéphanie Côté, Yacine Abed, Guy Boivin

Bibliographic record

VenueJournal of Clinical Microbiology · 2003
Typearticle
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsUniversité LavalCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsHuman metapneumovirusVirologyMetapneumovirusBiologyReal-time polymerase chain reactionBronchiolitisParamyxoviridaeNucleoproteinPolymerase chain reactionRespiratory tract infectionsGeneVirusViral diseaseRespiratory systemGenetics

Abstract

fetched live from OpenAlex

The human metapneumovirus (hMPV) is a new member of the Paramyxoviridae family associated with acute respiratory tract infections in humans. The objective of this study was to compare the sensitivity of real-time RT-PCR assays performed in a LightCycler instrument and designed to amplify the viral nucleoprotein (N), matrix (M), fusion (F), phosphoprotein (P), and polymerase (L) genes. In a first evaluation of 20 viral cultures with characteristics compatible with hMPV cytopathic effect, the PCR positivity rates were 100, 90, 75, 60, and 55% using primers for the N, L, M, P, and F genes. In a second evaluation of 10 nasopharyngeal aspirates from children with bronchiolitis and found to be positive for the hMPV N gene, the PCR positivity rates for the L, M, P, and F genes were 90, 60, 30, and 80%, respectively. The analytic sensitivity of the real-time RT-PCR assay for the hMPV N gene was 100 copies using a transcribed viral plasmid. In conclusion, real-time PCR assays aimed at amplifying the N and L genes which are coding for two internal viral proteins appear particularly suitable for hMPV diagnostic.

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)0.009
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.298
GPT teacher head0.530
Teacher spread0.232 · 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 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

Citations134
Published2003
Admission routes1
Has abstractyes

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