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Detection of Methicillin Resistance in Primary Blood Culture Isolates of Coagulase-Negative Staphylococci by PCR, Slide Agglutination, Disk Diffusion, and a Commercial Method

2002· article· en· W2061130166 on OpenAlexaff
Zafar Hussain, Luba Stoakes, Michael A. John, Shaunalee Garrow, Viivi Fitzgerald

Bibliographic record

VenueJournal of Clinical Microbiology · 2002
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsLatex fixation testSCCmecMicrobiologyCoagulasePenicillinBiologyAgglutination (biology)Direct agglutination testMicrococcaceaePenicillin resistancePenicillin binding proteinsStaphylococcusBlood cultureAntibioticsAntibacterial agentStaphylococcus aureusBacteriaMethicillin-resistant Staphylococcus aureusAntigenImmunologySerologyAntibody

Abstract

fetched live from OpenAlex

The methicillin resistance of 363 coagulase-negative staphylococci isolated from blood cultures was determined by a slide latex agglutination (LA) test for penicillin-binding protein 2a (PBP 2a), the presence of the mecA gene by PCR, disk diffusion, and Vitek. LA was performed on primary cultures, and PBP 2a expression was induced by placing an oxacillin disk in the primary inoculum. Compared to the PCR results, LA was the most sensitive and specific in the detection of methicillin resistance. Without induction, LA failed to detect 50% of mecA-positive strains grown on two different media.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.296
Threshold uncertainty score0.763

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.028
GPT teacher head0.340
Teacher spread0.312 · 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

Citations21
Published2002
Admission routes1
Has abstractyes

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