Control of T Cell Responses, Tolerance and Autoimmunity by Regulatory T Cells: Current Concepts
Bibliographic record
Abstract
Regulatory T cells have emerged as an important mechanism of regulating tolerance and T cell responses. CD4+ regulatory T cells can be divided into two main groups, natural regulatory T cells, which express high levels of CD25 on their cell surface and phenotypically diverse adaptive (antigen induced) regulatory T cells. Natural regulatory T cells are made in the thymus, and require strong costimulatory signals for induction and maintenance, express a transcription factor called Foxp3, and function by a largely unknown mechanism. Adaptive (antigen induced) regulatory T cells are made by sub-optimal antigenic signals in the periphery, in the presence of immunosuppressive cytokines, often in special circumstances, such as chronic viral infections or after mucosal administration of antigen, and rely on cytokines such as IL-10 and TGF-beta for suppression. Regulatory T cells offer a great potential for the treatment of autoimmune diseases and during transplantation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".