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Record W4401918502 · doi:10.1038/s41564-024-01782-y

Aspergillus fumigatus conidial surface-associated proteome reveals factors for fungal evasion and host immunity modulation

2024· article· en· W4401918502 on OpenAlexfundno aff
Camila Figueiredo Pinzan, Clara Valero, Patrícia Alves de Castro, Jefferson Luiz da Silva, Kayleigh Earle, Hong Liu, Maria Augusta Crivelente Horta, Olaf Kniemeyer, Thomas Krüger, Annica Pschibul, Derya Nur Cömert, Thorsten Heinekamp, Axel A. Brakhage, Jacob L. Steenwyk, Matthew E. Mead, Nico Hermsdorf, Scott G. Filler, Nathália Gonsales da Rosa-Garzon, Endrews Delbaje, Michael Bromley, Hamilton Cabral, Camila Diehl, Cláudia Blanes Angeli, Giuseppe Palmisano, Ashraf S. Ibrahim, David C. Rinker, Thomas J. C. Sauters, Karin Steffen, Adiyantara Gumilang, Antonis Rokas, Sara Gago, Thaila Fernanda dos Reis, Gustavo H. Goldman

Bibliographic record

VenueNature Microbiology · 2024
Typearticle
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesMedical Research CouncilManchester Biomedical Research CentreUniversidade de São PauloCanadian Institutes of Health ResearchAzrieli FoundationConselho Nacional de Desenvolvimento Científico e TecnológicoDeutsche ForschungsgemeinschaftMacquarie UniversityFundação de Amparo à Pesquisa do Estado de São PauloNational Institutes of HealthU.S. Department of Health and Human ServicesInternational Development Research CentreNational Centre for the Replacement, Refinement and Reduction of Animals in ResearchCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorNational Institute for Health and Care ResearchWellcome Trust
KeywordsAspergillus fumigatusBiologyMicrobiologyProteomeAspergillusAspergillosisPathogenFungal proteinGeneImmune systemPathogenic fungusImmunologyMutantGenetics

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.290
Teacher spread0.275 · 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 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

Citations24
Published2024
Admission routes1
Has abstractno

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