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Record W4284882517 · doi:10.3138/jammi-2021-0038

<i>Robinsoniella peoriensis</i>: An emerging pathogen and rare cause of wound infection in children

2022· article· en· W4284882517 on OpenAlexaffvenueabout
Carsten Krueger, Marisa Ann Azad, K. Ramotar, Vincent Deslandes, Peter Jessamine

Bibliographic record

VenueJournal of the Association of Medical Microbiology and Infectious Disease Canada · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMicrobial infections and disease research
Canadian institutionsCanadian Electricity AssociationOttawa HospitalChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsPathogenWound infectionMedicineMicrobiologyBiologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Robinsoniella peoriensis is an anaerobic gram-positive bacilli first isolated from swine manure in 2003 but has since been associated with human infections. METHODS: We describe a pediatric case of R. peoriensis infection following a below-knee amputation for a limb injury and its treatment. Methods of identifying R. peoriensis and reported in vitro antimicrobial minimum inhibitory concentrations from the literature are reviewed. RESULTS: R. peoriensis is readily identifiable via 16S rRNA gene sequencing and Matrix-Assisted Laser Desorption Ionization-Time of Flight. There is variability in the antibiotic susceptibility profiles reported in the literature, but antibiotics with low in vitro minimum inhibitor concentrations against R. peoriensis include beta-lactam/beta-lactamase inhibitors, carbapenems, vancomycin, and metronidazole. CONCLUSION: This is the first reported case of R. peoriensis infection following a traumatic injury in Canada to our knowledge and highlights the importance of recognizing this organism and other anaerobes in settings where wounds are grossly contaminated with soil.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.951

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 integrity0.0000.001
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 head0.005
GPT teacher head0.235
Teacher spread0.229 · 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 designObservational
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

Citations6
Published2022
Admission routes3
Has abstractyes

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