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Record W4409252319 · doi:10.1016/j.funbio.2025.101574

Leading developments in basic research on aspergillosis and mucormycosis

2025· editorial· en· W4409252319 on OpenAlex
Argha Sarkar, Drauzio E.N. Rangel, Nir Osherov

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

VenueFungal Biology · 2025
Typeeditorial
Languageen
FieldMedicine
TopicAntifungal resistance and susceptibility
Canadian institutionsBiotechnology Research Institute
FundersIsrael Science FoundationConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsBiologyMucormycosisAspergillosisMycosisImmunologyPathology

Abstract

fetched live from OpenAlex

This editorial presents an overview of notable contributions in basic research on aspergillosis and mucormycosis published between 2022 and 2024. Basic research in aspergillosis saw major advances in the field of genomics brought about by inexpensive whole-genome sequencing of hundreds of isolates. This has deepened our understanding of Aspergillus fumigatus population structure, gene diversity, and the evolution of azole antifungal resistance. Basic research in mucormycosis saw interesting developments in our understanding of the interactions between Rhizopus microsporus and endosymbiotic bacteria that protect it against predatory soil amoeba and increase its virulence in models of infection.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.054
GPT teacher head0.416
Teacher spread0.362 · 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