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Record W4406164820 · doi:10.3201/eid3102.241472

Diphtheria Toxin–Producing <i>Corynebacterium ramonii</i> in Inner-City Population, Vancouver, British Columbia, Canada, 2019–2023

2025· article· en· W4406164820 on OpenAlexfundaboutno aff
Christopher F. Lowe, Gordon Ritchie, Chiara Crestani, Miguel Imperial, Nancy Matic, Michael Payne, Aleksandra Stefanovic, Diana Whellams, Sylvain Brisse, Marc G. Romney

Bibliographic record

VenueEmerging infectious diseases · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiphtheria, Corynebacterium, and Tetanus
Canadian institutionsnot available
FundersBritish Columbia Centre for Disease Control
KeywordsDiphtheriaCorynebacterium diphtheriaeDiphtheria toxinMicrobiologyPopulationMedicineToxinVirologyBiologyEnvironmental healthVaccination

Abstract

fetched live from OpenAlex

We conducted patient chart reviews and whole-genome sequencing of wound specimens containing presumptive Corynebacterium ulcerans from Vancouver, British Columbia, Canada, during July 2019-July 2023. Sequencing confirmed 8/14 isolates were C. ramonii and identified 2 distinct clusters. Molecular methods should be used to clinically differentiate potential toxin-producing Corynebacterium spp.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.002
GPT teacher head0.201
Teacher spread0.199 · 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 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

Citations3
Published2025
Admission routes2
Has abstractyes

Explore more

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