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Record W7116895200 · doi:10.1093/mmy/myaf120

Analytical validation: Comparison of two laboratory-based methods for CSF quantitative cryptococcal cultures

2025· article· en· W7116895200 on OpenAlexaff
Andrew Akampurira, T. McHale, Tony Luggya, Tihana Bicanic, David B. Meya, David R. Boulware

Bibliographic record

VenueMedical Mycology · 2025
Typearticle
Languageen
FieldMedicine
TopicFungal Infections and Studies
Canadian institutionsInstitute of Infection and Immunity
FundersNational Institute of Neurological Disorders and StrokeFogarty International CenterNational Institute of Allergy and Infectious Diseases
KeywordsCryptococcal meningitisAgarCerebrospinal fluidCryptococcosisMeningitisConcordanceCryptococcus neoformansAgar plate

Abstract

fetched live from OpenAlex

Quantitative cryptococcal culture of the cerebrospinal fluid (CSF) is commonly used in cryptococcal meningitis research. We assessed the 'marble method' to evenly spread CSF onto two Sabouraud dextrose agar plates compared with the 'droplet method' using drops of CSF evenly placed around two halves of one agar plate. We found high concordance between the two methods. The Bland-Altman plot showed that the droplet method differed from the marble method by an average of -0.044 log10 CFU/ml CSF, with 95% limits of agreement from -0.324 to 0.235, indicating a small bias in favor of the marble method (P < 0.001). The droplet method of quantitative cryptococcal culture had no clinical difference compared to the marble method.

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)0.053
metaresearch head score (Gemma)0.135
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.281

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0530.135
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.003
Science and technology studies0.0010.003
Scholarly communication0.0040.001
Open science0.0030.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.062
GPT teacher head0.547
Teacher spread0.485 · 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 designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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