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Record W3136655750 · doi:10.1016/j.jdcr.2021.03.019

Cutaneous Emmonsia infection in a renal transplant recipient

2021· article· en· W3136655750 on OpenAlex
Alexandra Kuzyk, Toni Burbidge, P. Régine Mydlarski

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAAD Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDimorphic fungusMedicineRashRenal transplantImmunologyDiseaseOpportunistic infectionImmunityHuman immunodeficiency virus (HIV)TransplantationDermatologyInternal medicineViral diseaseImmune systemBiologyYeast

Abstract

fetched live from OpenAlex

Emmonsia species are dimorphic fungi, which can cause human disease through inhalation of airborne conidia from soil. They convert into yeast-like cells, which replicate and cause extra-pulmonary disease via hematological dissemination. Individuals with impaired cell-mediated immunity, such as those with HIV or transplant patients on immunosuppressive therapies, are more commonly infected. The majority of infected individuals present with respiratory symptoms and a widespread rash. More than 60 patients with Emmonsia species infections have been reported in South Africa, with the majority in the past 10 years; all but a few patients had HIV.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.018
GPT teacher head0.277
Teacher spread0.259 · 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