Editorial: Neutrophil death regulation in critical illness
Bibliographic record
Abstract
Neutrophils are the most abundant white blood cells in peripheral blood, and the first line of defense against bacterial infection. They also contribute to organ injury in critical illness, in disorders such as sepsis, trauma, shock and acute pancreatitis (1). In response to pathogen-associated molecular patterns (PAMPs) or danger-associated molecular patterns (DAMPs), spontaneous neutrophil apoptosis is inhibited and cell survival prolonged. Dysregulation of neutrophil death is associated with impaired bactericidal capacity and an amplified inflammatory response, both of which lead to organ injury (2). In this series, we summarize recent experimental findings on: The COVID-19 pandemic resulted in a large number of death across the world and In summary, the studies included in this topic provided an additional perspective on the importance of neutrophil death, and derangements in its expression, in the pathogenesis of critical illness, including sepsis, acute respiratory distress syndrome, ischemia reperfusion injury, COVID-19, and atherosclerosis.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.014 | 0.011 |
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".