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Record W2395282506 · doi:10.1128/microbe.1.209.3

Real-Time PCR: Analyte-Specific Reagents versus FDA-Approved Kits

2006· article· en· W2395282506 on OpenAlexaff
François J. Picard, Ann Huletsky, Gale Stewart, Maurice Boissinot, Michel G. Bergeron

Bibliographic record

VenueMicrobe Magazine · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAnalyteComputational biologyComputer scienceVirologyMedicineBiologyChromatographyChemistry

Abstract

fetched live from OpenAlex

In the January 2006 issue of the Clinical Microbiology Reviews, Espy et al. published a detailed comprehensive review on real-time PCR in clinical microbiology (M. J. Espy, J. R. Uhl, L. M. Sloan, S. P. Buckwalter, M. F. Jones, E. A. Vetter, J. D. C. Yao, N. L. Wengenack, J. E. Rosenblatt, F. R. Cockerill, and T. F. Smith, Clin. Microbiol. Rev. 19:165–256, 2006). This new technology is revolutionizing laboratory diagnosis of human pathogens. The authors covered extensively the literature on real-time PCR as well as the wide array of commercially available analyte-specific reagents (ASR) and products for research use only for real-time PCR but did not provide adequate coverage of available rapid real-time PCR diagnostic kits for detection of bacterial pathogens that are approved by the Food and Drug Administration (FDA). Currently, there are two FDA-approved real-time PCR kits that can replace standard culture (H. D. Davies, M. A. Miller, S. Faro, D. Gregson, S. C. Kehl, and J. A. Jordan, Clin. Infect. Dis. 39: 1129–1135, 2004; D. K. Warren, R. S. Liao, L. R. Merz, M. Eveland, and W. M. Dunne, J. Clin. Microbiol. 42:5578– 5581, 2004) and which are both commercialized by GeneOhm Sciences (a BD Company). The first, IDI-Strep BTM, was approved by the FDA in March 2003 for detection of group B streptococci from vaginal/anal swab specimens obtained from pregnant women during delivery (Davies et al., Clin. Infect. Dis. 39:1129–1135, 2004; F. J. Picard and M.G. Bergeron, Eur. J. Clin. Microbiol. Infect. Dis. 23:665–671, 2004). The second, IDIMRSATM, was approved in March 2004 for detection of methicillin-resistant Staphylococcus aureus from a nasal swab specimen (M. G. Bergeron, A. Huletsky, F. J. Picard, and M. Boissinot, Nature 430: 141, 2004; A. Huletsky, R. Giroux, V. Rossbach, M. Gagnon, M. Vaillancourt, M. Bernier, F. Gagnon, K. Truchon, M. Bastien, F. J. Picard, A. van Belkum, M. Ouellette, P. H. Roy, and M. G. Bergeron, J. Clin. Microbiol. 42:1875–1884; Warren et al., J. Clin. Microbiol. 42:5578– 5581, 2004).

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)0.071
metaresearch head score (Gemma)0.041
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: none
Teacher disagreement score0.071
Threshold uncertainty score0.374

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0710.041
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0060.004
Science and technology studies0.0010.006
Scholarly communication0.0100.012
Open science0.0040.003
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0040.006

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 head0.009
GPT teacher head0.241
Teacher spread0.231 · 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".

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Citations0
Published2006
Admission routes1
Has abstractyes

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