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Record W4380053151 · doi:10.1016/j.celrep.2023.112630

Extrafollicular IgD−CD27−CXCR5−CD11c− DN3 B cells infiltrate inflamed tissues in autoimmune fibrosis and in severe COVID-19

2023· article· en· W4380053151 on OpenAlexaff
Hugues Allard‐Chamard, Naoki Kaneko, Alice Bertocchi, Na Sun, Julie Boucau, Hsiao-Hsuan Kuo, Jocelyn R. Farmer, Cory A. Perugino, Vinay S. Mahajan, Samuel J. H. Murphy, Katherine Premo, Thomas Diefenbach, Musie Ghebremichael, Grace J. Yuen, Prasanti Alekhya Kotta, Zafer Akman, Mathias Lichterfeld, Bruce D. Walker, Xu G. Yu, Masafumi Moriyama, Takashi Maehara, Seiji Nakamura, John H. Stone, Robert F. Padera, Shiv Pillai

Bibliographic record

VenueCell Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsUniversité de Sherbrooke
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthMassachusetts Consortium on Pathogen ReadinessHoward Hughes Medical Institute
KeywordsImmunoglobulin DCD11cImmunologyAntibodyCXCR5FibrosisInflammationBiologyB cellPathologyMedicineGerminal centerPhenotypeGenetics

Abstract

fetched live from OpenAlex

Publisher of over 50 scientific journals across the life, physical, earth, and health sciences, both independently and in partnership with scientific societies including Cell, Neuron, Immunity, Current Biology, AJHG, and the Trends Journals.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.003

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 head0.017
GPT teacher head0.278
Teacher spread0.261 · 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 designObservational
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

Citations48
Published2023
Admission routes1
Has abstractyes

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