MétaCan
Menu
Back to cohort
Record W4405694609 · doi:10.1016/j.jid.2024.11.011

Cutaneous Innate Lymphoid Populations Drive IL-17A–Mediated Immunity in Nannizzia gypsea Dermatophytosis

2024· article· en· W4405694609 on OpenAlexfundno aff
Ignacio Beccacece, Verónica L. Burstein, Mariel A. Almeida, Julio Cesar Gareca, Lorena Guasconi, Cristian Mena, Verónica S. Mary, Martín G. Theumer, Laura Cervi, Immo Prinz, Adriana Gruppi, Michail S. Lionakis, Laura S. Chiapello

Bibliographic record

VenueJournal of Investigative Dermatology · 2024
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
FundersNHLBI Division of Intramural ResearchFondo para la Investigación Científica y TecnológicaNational Institute of Allergy and Infectious DiseasesSecretaria de Ciencia y Tecnología - Universidad Nacional de CórdobaAgencia Nacional de Promoción Científica y TecnológicaConsejo Nacional de Investigaciones Científicas y TécnicasFulbright U.S. Scholar ProgramNational Institutes of HealthInternational Union of Biochemistry and Molecular BiologyAgencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la InnovaciónSecretaría de Ciencia y Técnica, Universidad Nacional de Río CuartoUniversidad Nacional de Córdoba
KeywordsImmunologyInnate lymphoid cellInnate immune systemImmunityInterleukin 17BiologyMedicineImmune system

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)0.000
metaresearch head score (Gemma)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.298
Teacher spread0.271 · 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

Citations3
Published2024
Admission routes1
Has abstractno

Explore more

Same venueJournal of Investigative DermatologySame topicDermatology and Skin DiseasesFrench-language works237,207