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Record W2900284095 · doi:10.4049/jimmunol.1800805

Does T Cell Activation Require a Quorum of Lymphocytes?

2018· review· en· W2900284095 on OpenAlexaff
Ghassan A. Al‐Yassin, Peter A. Bretscher

Bibliographic record

VenueThe Journal of Immunology · 2018
Typereview
Languageen
FieldImmunology and Microbiology
TopicT-cell and B-cell Immunology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsQuorum sensingCD8T lymphocyteImmunologyCytotoxic T cellLymphocyte activationT cellCell biologyBiologyAntigenImmune systemBacteriaBiofilmGeneticsIn vitro

Abstract

fetched live from OpenAlex

Recent reports suggest a quorum of T cells is required to activate T lymphocytes and that this requirement may help explain why scarce lymphocytes, specific for peripheral self-antigen, are rarely activated by Ag. This proposal runs counter to the commonly held framework that the Ag-dependent, but CD4 T lymphocyte-independent, activation of CD8 T lymphocytes, and the activation of CD4 T lymphocytes themselves, can occur when a single CD8 or CD4 T lymphocyte encounters Ag under appropriately dangerous circumstances. We argue that a review of older literature often ignored, as well as of contemporary studies, supports the quorum concept and is difficult to reconcile with the Danger Model.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0030.003
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 head0.022
GPT teacher head0.268
Teacher spread0.246 · 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
GenreReview

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

Citations33
Published2018
Admission routes1
Has abstractyes

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