Bibliographic record
Abstract
The word 'sepsis' is a descriptive term that denotes the clinical syndrome resulting from the activation of an innate host response to infection. Sepsis is a useful concept that underlines the fact that the morbidity of serious infection arises through the response of the host, rather than through intrinsic cytopathic effects of the microorganism. However, it has proven inadequate as a means to delineate a population of patients who might benefit from therapies that modulate this response. The syndrome is variable in its clinical expression, and not specific for infection as a cause. Emerging insights into the biology of the innate host immune response reveal that the cellular response can be evoked by a variety of stimuli - including both microbial products and host-derived molecules that are normally intracellular - that signal danger to the host. The disconnect between concept and disease that has hampered the conduct of clinical trials is nicely exemplified in the host response to endotoxin. Endotoxemia occurs in many patients with sepsis, but also in many clinical settings that are noninfectious in nature. Moreover, the biologic behavior of endotoxin resembles that of a hormone more than that of a toxin, suggesting that low level endotoxemia may, under some circumstances, be beneficial. Future studies of antiendotoxin strategies in acute illness are more likely to succeed if they recruit patients with endotoxemia, and titrate therapy to an optimal level.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".