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Record W2787473757 · doi:10.1016/j.bbmt.2017.12.619

Tc17 Cells Mediate Gut Gvhd via IL-22 and Dysbiosis

2018· article· en· W2787473757 on OpenAlexaff
Qingxiao Song, Xiwei Wu, Deye Zeng, Senlin Xu, Robert R. Jenq, Marcel R.M. van den Brink, Arthur D. Riggs, Yuanzhong Chen, Defu Zeng

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsInstitute of Nutrition, Metabolism and Diabetes
Fundersnot available
KeywordsImmunologyMedicineCD8Graft-versus-host diseaseDysbiosisTransplantationImmune systemGut floraInternal medicine

Abstract

fetched live from OpenAlex

Gut GVHD is critical for determining the outcome of allogenic hematopoietic cell transplantation (HCT). Damage of Paneth cells and loss of defensins but increase of anti-bacterial lectin regenerating islet-derived IIIγ (RegIIIγ) can lead to dysregulation of intestinal microbiota and gut GVHD pathogenesis. RegIIIγ can be produced by Paneth cells and intestinal epithelial cells, and its secretion is augmented by IL-22, and the functional effect of IL-22 is regulated by IL-22 antagonist IL-22-binding protein (IL-22-BP).

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.005
GPT teacher head0.204
Teacher spread0.199 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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