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Record W4388279497 · doi:10.1002/9781119908388.ch38

Dimorphic Fungal Infections

2023· other· en· W4388279497 on OpenAlexaboutno aff
Andrew N. Rycroft BSc

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDimorphic fungusBiologyEpizooticBlastomyces dermatitidisSporothrix schenckiiFungusMicrobiologySporothrixZoologyYeastImmunologyOutbreakSporotrichosisVirologyBlastomycosisBotany

Abstract

fetched live from OpenAlex

Dimorphic Fungal Infections are caused by those fungi that have both yeast and filamentous phases, the yeast phase being seen in vivo . Important examples are regularly seen in the USA and Canada but may go undetected where they occur elsewhere. Blastomyces , restricted in its natural range, causes a systemic mycosis, primarily in dogs but also humans, with infection acquired from the environment. Histoplasma is again endemic in the USA and acquired by dogs and some other animals from the soil when contaminated by the faecal droppings of bats and birds. The primary infection via the respiratory tract is persistent because the fungus, in the yeast form, survives inside macrophages. Epizootic lymphangitis is caused by a related member of the Histoplasma genus. It is only seen in equids in regions of Africa and Asia where it is spread by biting flies. Coccidioides again occurs in restricted regions and inhalation leads to establishment of spherules that rupture and spread the infection widely within the body. Sporothrix is of worldwide distribution and direct inoculation from the environment into tissues leads to a subcutaneous mycosis. Among animals, it is primarily recorded as being a cause of lymphatic blockage in horses. Laboratory diagnostic methods in current use are discussed for each disease.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.062

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.005

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 head0.025
GPT teacher head0.295
Teacher spread0.270 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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