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Record W2753143907 · doi:10.1093/mmy/myx065

Attempted molecular detection of the thermally dimorphic human fungal pathogen Emergomyces africanus in terrestrial small mammals in South Africa

2017· article· en· W2753143907 on OpenAlexaff
Nadine Cronjé, Ilan S. Schwartz, Liezl Retief, Armanda D. S. Bastos, Sonja Matthee, Wolfgang Preiser, Nigel C. Bennett, Tsidiso G. Maphanga, Nelesh P. Govender, Robert Colebunders, Chris Kenyon

Bibliographic record

VenueMedical Mycology · 2017
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBiologyFungusInsectivoreZoologySexual dimorphismDimorphic fungusPathogenBotanyEcologyMicrobiologyGeneticsYeastPredation

Abstract

fetched live from OpenAlex

The ecological niche of Emergomyces africanus (formerly Emmonsia species), a dimorphic fungus that causes an AIDS-related mycosis in South Africa, is unknown. We hypothesized that natural infection with E. africanus occurs in wild small mammals. Using molecular detection with primers specific for E. africanus, we examined 1402 DNA samples from 26 species of mole-rats, rodents, and insectivores trapped in South Africa that included 1324 lung, 37 kidney, and 41 liver specimens. DNA of E. africanus was not detected in any animals. We conclude that natural infection of wild small mammals in South Africa with E. africanus has not been proven.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
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 head0.035
GPT teacher head0.283
Teacher spread0.248 · 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

Citations18
Published2017
Admission routes1
Has abstractyes

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