CD8 Controls T Cell Cross-Reactivity
Bibliographic record
Abstract
Estimates of human αβ TCR diversity suggest that there are <10(8) different Ag receptors in the naive T cell pool, a number that is dwarfed by the potential number of different antigenic peptide-MHC (pMHC) molecules that could be encountered. Consequently, an extremely high degree of cross-reactivity is essential for effective T cell immunity. Ag recognition by T cells is unique in that it involves a coreceptor that binds at a site distinct from the TCR to facilitate productive engagement of the pMHC. In this study, we show that the CD8 coreceptor controls T cell cross-reactivity for pMHCI Ags, thereby ensuring that the peripheral T cell repertoire is optimally poised to negotiate the competing demands of responsiveness in the face of danger and quiescence in the presence of self.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".