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
The neutrophil has long been considered a phagocytic cell with a short life-span whose major role is to destroy intruders to the body. Toll receptors and anti-infectious factors such as defensin, perforin and granzymes are newly discovered mechanisms used by neutrophils for the first line of defense against invaders. Moreover, subpopulations of neutrophils share specific functions like the synthesis of certain cytokines and chemokines, as well as the expression of immunoreceptors like the T cell receptor. A primary consequence of inflammation on neutrophils is a delay in their spontaneous programmed cell death. Hence, this multifunctional cell is also a necessary actor of the acquired immune response. Neutrophils have the capacity to degrade and process antigens as well as efficiently present antigenic peptides to lymphocytes. Neutrophil interactions with immune cells, in particular dendritic cells, lead to the formation of IL-12 and TNF-alpha deviating the immune response towards a Th1 phenotype. Thus, the neutrophil exhibits a cellular plasticity that explains its capacity to transdifferentiate depending on the local requirements of the immune response. The neutrophil is probably the most underappreciated immune cell among hematopoietic leukocytes, and many neutrophil functions remain to be unraveled.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.014 |
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