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Record W2757350427 · doi:10.1080/24745332.2017.1370679

Isolated pleural aspergillosis: Case description and challenges in management

2017· article· en· W2757350427 on OpenAlexaff
Bryan Ross, Karim Taha, Linda R. Taggart, Maurice Blitz, Anju Anand

Bibliographic record

VenueCanadian Journal of Respiratory Critical Care and Sleep Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsSt. Michael's HospitalSt. Joseph's HospitalUniversity of Toronto
Fundersnot available
KeywordsAspergillosisIntensive care medicineMedicinePulmonary aspergillosisPleural fluidComputer sciencePleural effusionImmunologyRadiology

Abstract

fetched live from OpenAlex

Aspergillus species are ubiquitous fungi in the environment. They are responsible for a wide variety of clinical syndromes including allergic manifestations, saprophytic colonization, and invasive disease, which can disseminate. Aspergillus fumigatus is the most common Aspergillus species to cause human infection, and the respiratory system is the primary portal of entry. Although pulmonary aspergillosis is well-characterized, pleural aspergillosis in the absence of pulmonary infection is rare and difficult to treat. The ubiquity of Aspergillus species in the environment underscores the importance of host factors in colonization and infection. We outline the case of a 73-year-old man who presented with dyspnea and constitutional symptoms. Following a thorough workup including systematic exclusion of more common entities, he was diagnosed with isolated pleural aspergillosis. In the absence of considerable supporting literature we discuss the diagnosis, clinical course and management challenges of this rare entity.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.109
GPT teacher head0.333
Teacher spread0.224 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2017
Admission routes1
Has abstractyes

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