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Record W3011483298 · doi:10.1038/s41591-020-0868-6

SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes

2020· article· en· W3011483298 on OpenAlexfundno aff
Waradon Sungnak, Ni Huang, Christophe Bécavin, Marijn Berg, Rachel Queen, Monika Litviňuková, Carlos Talavera‐López, Henrike Maatz, Daniel Reichart, Fotios Sampaziotis, Kaylee B. Worlock, Masahiro Yoshida, Josephine L. Barnes

Bibliographic record

VenueNature Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of Allergy and Infectious DiseasesNational Institute on AgingNIHR Cambridge Biomedical Research CentreHelmholtz Zentrum MünchenEuropean Regional Development FundNational Health and Medical Research CouncilNational Heart, Lung, and Blood InstituteBiotechnology and Biological Sciences Research CouncilMedical Research CouncilKlarman Cell Observatory, Broad InstituteMedical School, University of MichiganFeinberg School of MedicineUniversity of California, San DiegoNational Institutes of HealthDeutsches Zentrum für LungenforschungScience for Life LaboratoryDeutsches Zentrum für Herz-KreislaufforschungUniversitair Medisch Centrum GroningenRheinische Friedrich-Wilhelms-Universität BonnDeutsches Zentrum für Neurodegenerative ErkrankungenThailand Research FundNational Natural Science Foundation of ChinaNational Science and Technology Development AgencyNational Research Foundation of KoreaFondation pour la Recherche MédicaleStockholms UniversitetCancerfondenSchool of Medicine, Duke UniversityAgence Nationale de la RechercheCatholic University of KoreaUniversity of New South WalesHarvard Stem Cell InstituteRijksuniversiteit GroningenFondation LeducqDeutsche ForschungsgemeinschaftNational Institute for Health and Care ResearchNational Research FoundationRosetrees TrustUniversity of AlbertaImperial College LondonEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCystic Fibrosis TrustMemorial Sloan-Kettering Cancer CenterWellcome TrustNational Centre for the Replacement, Refinement and Reduction of Animals in ResearchBritish Heart FoundationAcademy of Medical SciencesUniversity College LondonU.S. Department of DefenseCancer Research UKDirectorate for Biological SciencesManton FoundationHorizon 2020 Framework ProgrammeVetenskapsrådetConseil Départemental des Alpes MaritimesHoward Hughes Medical InstituteArizona State UniversityEngineering and Physical Sciences Research CouncilEuropean CommissionNational Centre for the Replacement Refinement and Reduction of Animals in ResearchSchool of Medicine, Boston UniversityMassachusetts Institute of TechnologyMinisterie van Economische Zaken en KlimaatBroad InstituteKoch Institute for Integrative Cancer Research, Massachusetts Institute of TechnologyNorthwestern UniversityKungliga Tekniska HögskolanKarolinska InstitutetNational Jewish HealthRichard and Susan Smith Family FoundationMassachusetts General HospitalBill and Melinda Gates Foundation
KeywordsInnate immune systemBiologyTropismGeneVirologyTissue tropismImmune systemImmunologyImmunityVirusGenetics

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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.315
Teacher spread0.286 · 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

Citations2,735
Published2020
Admission routes1
Has abstractno

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