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Record W3007442100 · doi:10.1016/j.jaci.2020.02.011

IL-4 enhances interferon production by virus-infected human mast cells

2020· letter· en· W3007442100 on OpenAlexafffund
Liliana Portales‐Cervantes, Owen M. Crump, Sarah Dada, Christopher R. Liwski, Jelena Gotovina, Ian D. Haidl, Jean S. Marshall

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2020
Typeletter
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsDalhousie University
FundersCanadian Institutes of Health ResearchAllerGen
KeywordsRhinovirusVirusImmunologyInterferonVirologyRespiratory systemMedicineInfluenza A virusAtopic dermatitisAsthmaViral replicationCommon coldBiology

Abstract

fetched live from OpenAlex

It is well recognized that individuals with allergic diseases such as asthma and atopic dermatitis clear some viral infections poorly compared with healthy subjects.1,2 Respiratory viral infections, including respiratory syncytial virus (RSV), influenza A virus (IAV), and rhinovirus, can promote asthma exacerbations and are associated with increased morbidity and mortality. Type I (α/β) and type III (λ) interferons are critical for antiviral defense, inhibit viral replication, and mobilize host defense mechanisms.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.316
Teacher spread0.292 · 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

Citations11
Published2020
Admission routes2
Has abstractno

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