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Record W2973753224 · doi:10.1371/journal.ppat.1007977

Emergomyces: The global rise of new dimorphic fungal pathogens

2019· review· en· W2973753224 on OpenAlexafffund
Ilan S. Schwartz, Nelesh P. Govender, Lynne Sigler, Yanping Jiang, Tsidiso G. Maphanga, Barbra Toplis, Alfred Botha, Karolina Dukik, J. Claire Hoving, José F. Muñoz, Sybren de Hoog, Christina A. Cuomo, Robert Colebunders, Chris Kenyon

Bibliographic record

VenuePLoS Pathogens · 2019
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsUniversity of Alberta
FundersFaculty of Medicine and Dentistry, University of AlbertaFonds Wetenschappelijk OnderzoekAstellas PharmaWellcome TrustAssociation of Medical Microbiology and Infectious Disease CanadaRoyal College of Physicians and Surgeons of CanadaUniversity of AlbertaVlaamse regeringManitoba Medical Service Foundation
KeywordsDimorphic fungusBiologyMicrobiologyGenetics

Abstract

fetched live from OpenAlex

Unknown until recently, the genus Emergomyces is composed of dimorphic fungi with human pathogenic potential. Five described species have been implicated as causes of disease in immunocompromised persons on at least 4 continents. In some regions, such as southern Africa, this disease, emergomycosis, is now the most commonly diagnosed dimorphic fungal infection. Herein, we review the history of these fungi, clinical features and pathogenesis of disease, what is known of their biology, and future research directions.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.054
GPT teacher head0.294
Teacher spread0.240 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations78
Published2019
Admission routes2
Has abstractyes

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