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Record W2792030339 · doi:10.3899/jrheum.170835

Human Osteoblast-like Cells Are Permissive for Zika Virus Replication

2018· letter· en· W2792030339 on OpenAlexvenueno aff
Francesca Colavita, Giuseppina Musumeci, Claudia Caglioti

Bibliographic record

VenueThe Journal of Rheumatology · 2018
Typeletter
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
FundersMinistero della Salute
KeywordsMedicineViremiaZika virusChikungunyaVirologyVirusArthritisRheumatoid arthritisImmunology

Abstract

fetched live from OpenAlex

We read with great interest the letter by Roimicher, et al 1. The authors reported a case of a woman with a 4-year diagnosis of rheumatoid arthritis who achieved therapy-induced clinical remission 4 months before acquiring Zika virus (ZIKV) infection. The woman presented with fever, maculopapular rush, conjunctivitis, and arthralgia, and was tested for Chikungunya virus and ZIKV infection. The ZIKV genome was detected in blood and knee synovial fluid (SF). ZIKV viremia become negative after the end of clinical signs (Day 7); however, the patient experienced articular pain about 1 week later, and tested positive for ZIKV RNA in SF, while ZIKV viremia remained negative. These findings characterized for the first time a ZIKV infection localized within the joint of a patient, and raised a more general … Address correspondence to Dr. C. Caglioti, National Institute for Infectious Diseases L. Spallanzani, IRCCS, Laboratory of Virology, Via Portuense 292, Rome, Italy. E-mail: claudia.caglioti{at}inmi.it

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)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0130.011
Insufficient payload (model declined to judge)0.0020.002

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 head0.019
GPT teacher head0.293
Teacher spread0.274 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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