MétaCan
Menu
Back to cohort
Record W4408909769 · doi:10.1038/s41564-025-01962-4

Characterizing extracellular vesicles of human fungal pathogens

2025· review· en· W4408909769 on OpenAlexfundno aff
Márcio L. Rodrigues, Guilhem Janbon, Richard J. O’Connell, Thi Thu Huyen Chu, Robin C. May, Hailing Jin, Flavia C. G. Reis, Lysangela R. Alves, Rosana Puccia, Taícia Pacheco Fill, Juliana Rizzo, Daniel Zamith‐Miranda, Kildare Miranda, Teresa Gonçalves, Iuliana V. Ene, Mehdi Kabani, Marilyn A. Anderson, Neil A. R. Gow, David R. Andes, Arturo Casadevall, Joshua D. Nosanchuk, Leonardo Nimrichter

Bibliographic record

VenueNature Microbiology · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsnot available
FundersDepartment of Health and Social CareMedical Research CouncilCentre National de la Recherche ScientifiqueFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroInstitut PasteurConselho Nacional de Desenvolvimento Científico e TecnológicoMinistério da Ciência, Tecnologia e InovaçãoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São PauloNational Institute of General Medical SciencesNational Institute for Health and Care ResearchNational Institute of Allergy and Infectious DiseasesAgence Nationale de la RechercheMedical Research Council Centre for Medical MycologyWellcome TrustCanadian Institute for Advanced ResearchNational Science FoundationWellcomeFundação Oswaldo CruzU.S. Department of AgricultureNational Heart, Lung, and Blood InstituteSecretaria Regional do Mar, Ciência e TecnologiaNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsExtracellular vesiclesExtracellularVesicleBiologyMicrobiologyCell biologyChemistryBiochemistryMembrane

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.002

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 head0.011
GPT teacher head0.296
Teacher spread0.285 · 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
GenreReview

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

Citations33
Published2025
Admission routes1
Has abstractno

Explore more

Same venueNature MicrobiologySame topicExtracellular vesicles in diseaseFrench-language works237,207