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Record W4229444505 · doi:10.5546/aap.2022.e128

Dermatofitosis por Microsporum gypseum en un niño con inmunodeficiencia primaria

2022· article· es· W4229444505 on OpenAlexaff
Stefano Pc, Velasquez La

Bibliographic record

VenueArchivos Argentinos de Pediatria · 2022
Typearticle
Languagees
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsConcordia Hospital
Fundersnot available
KeywordsMicrosporum gypseumMedicineMicrobiologyAntifungalDermatologyBiologyTrichophyton

Abstract

fetched live from OpenAlex

Microsporum gypseum is a geophilic fungus that can cause inflammatory skin lesions in heathy people. More extensive lesions have been described in immunocompromised patients. We present a patient with extensive dermatophytosis, which mycological examination led the identification of Candida sp, Epidermophyton Floccosum and Trichophyton tonsurans and showed poor response to treatment with griseofulvina and itraconazol at usual doses. When skin biopsy was performed, it had positive culture for M. gypseum. Due to the extension and poor response to treatment, immunological assessment was performed and it showed a defect of STAT1 with gain of function (STAT 1-GOF). Patients with primary immunodeficiency are susceptible to fungal infections, especially Candida but also virus and bacteria, although to a lesser extent. The patient received long-term treatment with systemic imidazole antifungal recovering for the lesions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.007
GPT teacher head0.244
Teacher spread0.237 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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