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Use of the Vitek-1 and Vitek-2 Systems for Detection of Constitutive and Inducible Macrolide Resistance in Group B Streptococci

2004· article· en· W2162305834 on OpenAlexaff
Patrick Tang, Peter Ng, Ming Lum, M Skulnick, G W Small, Donald E. Low, Alicia Sarabia, Tony Mazzulli, Katherine Wong, Andrew E. Simor, Barbara Willey

Bibliographic record

VenueJournal of Clinical Microbiology · 2004
Typearticle
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science CentreMount Sinai Hospital
Fundersnot available
KeywordsErythromycinMicrobiologyClindamycinAgarGroup BBiologyAgar diffusion testAntibioticsMedicineBacteriaInternal medicineStaphylococcus aureusGenetics

Abstract

fetched live from OpenAlex

A prospective study of erythromycin and clindamycin resistance was performed with 304 consecutive group B streptococci (GBS) isolates. According to two automated susceptibility testing systems, Vitek-1 and Vitek-2, and double-disk agar diffusion, 79.9% were susceptible to both erythromycin and clindamycin. However, for macrolide-lincosamide-streptogramin B-inducible isolates, the accuracies of the Vitek-1 and Vitek-2 systems were 5.6 and 94.4%. In light of these results, we recommend that GBS be routinely tested using the double-disk diffusion method.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.592
Threshold uncertainty score0.162

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.061
GPT teacher head0.353
Teacher spread0.292 · 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

Citations11
Published2004
Admission routes1
Has abstractyes

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