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Record W2563952765 · doi:10.1128/genomea.01442-16

Draft Whole-Genome Sequence of a Catalase-Negative Staphylococcus aureus subsp. <i>aureus</i> (Sequence Type 25) Strain Isolated from a Patient with Endocarditis and Septic Arthritis

2016· article· en· W2563952765 on OpenAlexaff
Byron M. Berenger, Justin Z. Chen, Anne-Marie Bernier, Kathryn Bernard

Bibliographic record

VenueGenome Announcements · 2016
Typearticle
Languageen
FieldMedicine
TopicAntimicrobial Resistance in Staphylococcus
Canadian institutionsUniversity of ManitobaPublic Health Agency of CanadaProvincial Laboratory of Public HealthCanadian Science Centre for Human and Animal HealthUniversité de Saint-BonifaceUniversity of Alberta
Fundersnot available
KeywordsStaphylococcus aureusWhole genome sequencingBiologyMicrobiologyCatalaseMissense mutationStrain (injury)GeneGenomeBacteriaMutationGeneticsEnzyme

Abstract

fetched live from OpenAlex

Staphylococcus aureus strains without catalase activity are rare, challenging to identify with conventional biochemical methods, and, despite a supposed decreased pathogenicity, can still cause disease. The first whole-genome sequence of a catalase-negative S. aureus isolate causing severe recurrent invasive infection with two novel missense mutations in the katA gene is reported here.

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)0.001
metaresearch head score (Gemma)0.003
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.006

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 head0.018
GPT teacher head0.246
Teacher spread0.228 · 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".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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