MétaCan
Menu
Back to cohort
Record W1917684547 · doi:10.1155/2007/384743

Hospital‐Acquired Phaeohyphomycosis Due to <i>Exserohilum rostratum</i> in a Child with Leukemia

2006· article· en· W1917684547 on OpenAlexaffabout
Maude Saint-Jean, G. St‐Germain, Céline Laferrière, Bruce Tapiéro

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2006
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsInstitut National de Santé Publique du QuébecUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsExserohilumPhaeohyphomycosisMicrobiologyLeukemiaBiologyMedicineBotanyImmunology

Abstract

fetched live from OpenAlex

The present study describes a case of cutaneous phaeohyphomycosis caused by Exserohilum rostratum in a child undergoing treatment for leukemia. The infection was possibly due to contaminated intravenous dressings and was successfully treated with surgical excision combined with liposomal amphotericin B. Consequently, new infection control policies have been implemented at CHU Sainte-Justine (Montreal, Quebec).

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.002
GPT teacher head0.191
Teacher spread0.188 · 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 designCase report
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

Citations27
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Infectious Diseases and Medical MicrobiologySame topicFungal Infections and StudiesFrench-language works237,207