Estimating Thymic Function Through Quantification of T-Cell Receptor Excision Circles
Bibliographic record
Abstract
Analysis of immune reconstitution is of major importance in clinical settings such as following bone marrow transplantation or during anti-retroviral treatment of HIV-infected patients. In these patients, thymic function is essential for the reconstitution of a diversified T-cell receptor (TCR) repertoire. During thymopoiesis, several genetic rearrangements lead to the generation of fully functional TCR. By-products of these processes, the T-cell receptor excision circles (TRECs), are present in cells exported from the thymus but do not replicate during mitosis; they can thus be used as molecular markers for recent thymic emigrants. We demonstrate how thymic function can be assessed in a quantitative and noninvasive fashion in humans by estimating intrathymic precursor T-cell proliferation through the quantification of distinct TREC molecules in peripheral blood cells.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".