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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 OpenAlex
François J. Picard, Ann Huletsky, Gale Stewart, Maurice Boissinot, Michel G. Bergeron

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.009
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