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Record W4321793071 · doi:10.1016/j.jaci.2023.02.003

Inherited and acquired errors of type I interferon immunity govern susceptibility to COVID-19 and multisystem inflammatory syndrome in children

2023· review· en· W4321793071 on OpenAlexafffund
Giorgia Bucciol, Laurent Abel, Salah Al-Muhsen, Alessandro Aiuti, Fahd Al‐Mulla, Evangelos Andreakos, Antonio Novelli, Andrés A. Arias, Sophie Trouillet‐Assant, Alexandre Bélot, Catherine M. Biggs, Ahmed Aziz Bousfiha, Alex Bolze, A. Borghesi, Petter Brodin, John Christodoulou, Aurélie Cobat, Antônio Condino‐Neto, Stefan N. Constantinescu, Clifton L. Dalgard, Sara Elva Espinosa‐Padilla, Jacques Fellay, Carlos Flores, José Luis Franco, Antoine Froidure, Guy Gorochov, Filomeen Haerynck, Rabih Halwani, Elena W.Y. Hsieh, Yuval Itan, Kai Kisand, YL Lau, Davood Mansouri, Isabelle Meyts, Trine H. Mogensen, Lisa F. P. Ng, Luigi D. Notarangelo, Giuseppe Novelli, Satoshi Okada, Tayfun Özçelık, Rebeca Pérez de Diego, Carolina Prando, Aurora Pujol, Lluís Quintana‐Murci, Laurent Rénia, Igor Resnick, Lucie Roussel, Carlos Rodríguez‐Gallego, Vanessa Sancho‐Shimizu, Mohammed Shahrooei, Pere Soler‐Palacín, András N. Spaan, Ivan Tancevski, Stuart G. Tangye, Ahmad Abou Tayoun, Şehime Gülsün Temel, Pierre Tiberghien, Jordi Pérez‐Tur, Stuart E. Turvey, K. M. Furkan Uddin, Mohammed Uddin, Mateus Vidigal, Donald C. Vinh, Mayana Zatz, Keisuke Okamoto, David S. Perlin, Graziano Pesole, Christian Thorball, Diederik van de Beek, Roger Colobrán, Joost Wauters, Shen‐Ying Zhang, Qian Zhang, Helen C. Su, Jean‐Laurent Casanova

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2023
Typereview
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNational Center for Advancing Translational SciencesInstituto de Salud Carlos IIIHORIZON EUROPE Framework ProgrammeMohammed Bin Rashid University of Medicine and Health SciencesUniversität InnsbruckVlaamse regeringAmsterdam NeuroscienceUniversité de LausanneBilkent ÜniversitesiHospital for Sick ChildrenCentre National de la Recherche ScientifiqueUniversity of Hong KongFonds Wetenschappelijk OnderzoekUniversity of New South WalesNational Center for Research ResourcesNational Institute of Allergy and Infectious DiseasesFisher Center for Alzheimer's Research FoundationAgence Nationale de la RechercheNHLBI Division of Intramural ResearchAgency for Science, Technology and ResearchUniversity of British ColumbiaInstitut des maladies génétiques ImagineLee Kong Chian School of Medicine, Nanyang Technological UniversityMinistère de l'Enseignement supérieur, de la Recherche et de l'InnovationUniversiteit van AmsterdamBC Children's HospitalTokyo Medical and Dental UniversityKU LeuvenAarhus UniversitetFondation pour la Recherche MédicaleNational Institutes of HealthMcGill University Health CentreFondation du SouffleMcGill UniversityMedizinische Universität InnsbruckEuropean CommissionTartu ÜlikoolUniversidade de São PauloHackensack Meridian HealthInstitut National de la Santé et de la Recherche MédicaleCentre Hospitalier Universitaire VaudoisUniversidad de Las Palmas de Gran CanariaImperial College LondonHoward Hughes Medical Institute
KeywordsCoronavirus disease 2019 (COVID-19)MedicineImmunologyImmunitySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakVirologyInterferonImmune systemPathologyDiseaseOutbreak

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)0.001
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.093
GPT teacher head0.411
Teacher spread0.318 · 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

Citations16
Published2023
Admission routes2
Has abstractno

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