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Record W4402147269 · doi:10.3201/eid3010.241118

Presumed Transmission of 2 Distinct Monkeypox Virus Variants from Central African Republic to Democratic Republic of the Congo

2024· article· en· W4402147269 on OpenAlexfundno aff
Emmanuel Hasivirwe Vakaniaki, Eddy Kinganda-Lusamaki, Sydney Merritt, Emile Malembi, Lygie Lunyanga, Sylvie Linsuke, Megan Halbrook, Ernest Kalthan, Elisabeth Pukuta, Adrienne Amuri-Aziza, Jean-Claude Makangara-Cigolo, Raphael Lumembe, Gabriel Kabamba, Yvon Anta, Pierrot Bolunza, Innocent Kanda, Raoul Ngazobo, Thierry Kalonji-Mukendi, Justus Nsio, Patricia Matoka, Dieudonné Mwamba, Christian Ngandu, Souradet Y. Shaw, Robert Shongo, Joule Madinga, Yap Boum, Laurens Liesenborghs, Éric Delaporte, Ahidjo Ayouba, Nicola Low, Steve Ahuka Mundeke, Lisa E. Hensley, Jean‐Jacques Muyembe Tamfum, Emmanuel Nakouné, Martine Peeters, Nicole A. Hoff, Jason Kindrachuk, Anne W. Rimoin, Placide Mbala‐Kingebeni

Bibliographic record

VenueEmerging infectious diseases · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPoxvirus research and outbreaks
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchAgricultural Research ServiceAgence Française de DéveloppementU.S. Department of DefenseInternational Development Research CentreAustralian GovernmentInstitut de Recherche pour le DéveloppementU.S. Department of Agriculture
KeywordsMonkeypoxTransmission (telecommunications)VirologySubcladeDemocracyVirusBiologyCladeGeographyPolitical sciencePhylogeneticsGeneticsGene

Abstract

fetched live from OpenAlex

We linked 4 mpox cases in South Ubangi, Democratic Republic of the Congo, to transboundary transmission from Central African Republic. Viral genome sequencing demonstrated that the monkeypox virus sequences belonged to distinct clusters of subclade Ia. This finding demonstrates the borderless nature of mpox and highlights the need for vigilant regional surveillance.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.254
Teacher spread0.244 · 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.

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

Citations9
Published2024
Admission routes1
Has abstractyes

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