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Record W4324143902 · doi:10.1038/s41392-023-01387-7

Motile cilia and microvillar: accomplices of SARS-CoV-2 in penetrating mucus barrier and infecting airway epithelium

2023· letter· en· W4324143902 on OpenAlexaff
Peng Su, Fangfang Zhou, Long Zhang

Bibliographic record

VenueSignal Transduction and Targeted Therapy · 2023
Typeletter
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsInstitute of Infection and Immunity
FundersNational Science Fund for Distinguished Young ScholarsNational Science Foundation
KeywordsMucusCiliumRespiratory epitheliumEpitheliumMucociliary clearanceAirwayBiologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)Cell biologyPathologyMedicineVirologyLungInternal medicine

Abstract

fetched live from OpenAlex

Recently in Cell , Chien et al. 1 published their new findings on severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) penetrating through the mucosal barrier of respiratory by hijacking the cilia and microvilli of nasal epithelial cells, and elucidated the specific mechanism in detail using electron microscopy as well as phosphoproteomics. This study fully explained the way of SARS-CoV-2 breaking through the mucus barrier to infect nasal epithelial cells, and provided a novel direction for the blocking treatment of respiratory tract infections.

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)0.006
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.020
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0200.016
Insufficient payload (model declined to judge)0.0030.005

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 head0.039
GPT teacher head0.312
Teacher spread0.273 · 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
GenreCommentary

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

Citations6
Published2023
Admission routes1
Has abstractyes

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