Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
After antigenic stimulation in the context of "danger signals," naive T cells embark on a programmed, intense expansion phase to counteract the rapid proliferation of pathogens. During the first week of infection, responding T cells undergo > 1000-fold expansion, resulting in the development of large numbers of cells exhibiting potent effector function. As the pathogen (antigen) burden dwindles, a majority of the effectors generated are eliminated by apoptosis, resulting in the survival and maintenance of a small population of antigen-specific cells as long-term memory T cells. Depending on the infection studied, CD8+ T cells appear to differentiate through multiple pathways into resting and effector memory subsets, and require multiple cytokines and cell surface molecules for survival and proliferation. Once generated, the repertoire of memory T cells remains highly vulnerable to attrition during heterologous infections, where homeostatic forces drive deletions in T-cell memory pools to accommodate the entry of new memory T cells. This review will primarily focus on the factors that influence the generation, maintenance, and attrition of memory CD8+ T cells.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it