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Corneal Ulcer Caused by the New Fungal Species<i>Sarcopodium oculorum</i>

2002· article· en· W2104738456 on OpenAlexfundno aff
Josep Guarro, Ana Luísa Höfling-Lima, Josepa Gené, Denise de Freitas, Patrício Godoy, Maria Luisa Zorat-Yu, Luís Zaror, Olga Fischman

Bibliographic record

VenueJournal of Clinical Microbiology · 2002
Typearticle
Languageen
FieldMedicine
TopicOcular Infections and Treatments
Canadian institutionsnot available
FundersAgriculture and Agri-Food Canada
KeywordsNatamycincorneal ulcerKetoconazoleFluconazoleFungal keratitisFungusMicrobiologyBiologyKeratitisMycosisHyphaItraconazoleFlucytosineAntifungalConidiumDermatologyMedicineBotanyImmunology

Abstract

fetched live from OpenAlex

We describe a case of keratitis caused by a new species of the hyphomycetous genus Sarcopodium, S. oculorum. The corneal ulcer developed after 5 months of treatment with corticosteroids in a Brazilian boy diagnosed with allergic conjunctivitis. Fungal hyphae and conidia were detected in corneal scrapings, and repeated cultures were positive for this fungus. The infection was resolved with natamycin and ketoconazole. Eleven antifungals were tested against this fungus, and all except flucytosine and fluconazole showed in vitro activity.

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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.058
GPT teacher head0.342
Teacher spread0.284 · 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

Citations20
Published2002
Admission routes1
Has abstractyes

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