Pathogenicity of <i>Enterobacter sakazakii</i>
Bibliographic record
Abstract
Enterobacter sakazakii is an emerging food-borne pathogen that has increasingly raised interest among the scientific community, health care providers, and the food industry since the early 1980s, when it was accepted as a new species. This chapter attempts to summarize research endeavors aimed at understanding the pathogenesis of this important food-borne pathogen. The first two known cases of E. sakazakii meningitis date from 1958 and were first reported in 1961. Subsequently, cases of meningitis, septicemia, and necrotizing enterocolitis due to this organism have been reported worldwide. E. sakazakii adherence to the cell lines increased with a higher multiplicity of infection and was maximal at the late bacterial exponential growth phase. Once E. sakazakii makes its way past the gastrointestinal tract to the bloodstream, it is likely that it attaches to endothelial cells and then somehow crosses through the blood-brain barrier to infect the meninges and brain. Interestingly, using meningitis and bacteremia alone to characterize the disease, invasive infant cases were divided into two groups based on gestational age and birth weight. The interest in the causal relationship between powdered infant formula (PIF) and this emerging food-borne pathogen has led to an interest in ascertaining its mechanism(s) of pathogenicity.
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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 | 0.000 | 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) | 0.004 | 0.004 |
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".