Bibliographic record
Abstract
Polymorphonuclear neutrophils are short-lived phagocytic cells that serve as cardinal early cellular effectors of innate immunity. Both oxidative and non-oxidative mechanisms contribute to microbial killing by the neutrophil. Neutrophil defence mechanisms are potent but non-specific, with the result that inadvertent injury to host tissues commonly accompanies the activation of a neutrophil mediated response; this bystander injury has been implicated in the tissue injury of sepsis. The capacity for neutrophils to cause injury to host tissues is attenuated by the relatively short in vivo lifespan of the neutrophil, a consequence of a constitutively expressed program of apoptosis. That program can be inhibited, and neutrophil survival prolonged, through the interaction of the neutrophil with a variety of mediators of both microbial and host origin. These, in turn, inhibit apoptosis by increasing the expression of anti-apoptotic genes within the neutrophil: interleukin (IL)1beta and a novel cytokine-like molecule pre-B cell colony-enhancing factor (PBEF) are central to this inhibitory influence. Conversely, the phagocytosis of a micro-organism activates the apoptotic program, and so contributes to the resolution of acute inflammation. A complex series of interactions between the neutrophil and microorganisms or their products regulates the duration and intensity of an inflammatory response, and so provides an attractive target for therapeutic manipulation.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".