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Record W2239762263 · doi:10.1093/ofid/ofv160

Primary Larynx Cryptococcus neoformans Infection: A Distinctive Clinical Entity

2015· article· en· W2239762263 on OpenAlex
Mathieu Bergeron, Andrée-Anne Gagné, Mathieu Côté, Jacinthe Chênevert, Robert Dubé, René Pelletier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOpen Forum Infectious Diseases · 2015
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsHôtel-Dieu de QuébecCentre hospitalier universitaire de QuébecUniversité Laval
Fundersnot available
KeywordsCryptococcus neoformansMedicineLarynxCryptococcusFluconazoleCryptococcosisBiopsyAntifungalDermatologyPathologyMicrobiologySurgeryBiology

Abstract

fetched live from OpenAlex

Cryptococcus neoformans can directly infect the vocal cords. Endoscopic findings were undistinctive from most infiltrative diseases. Tissue biopsy was essential for the diagnosis. Inhaled corticosteroids can predispose to the infection, and fluconazole 400 mg daily for at least 6 weeks appeared to be minimal to achieve a permanent cure.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.061
GPT teacher head0.376
Teacher spread0.315 · 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