CRONOBACTER SAKAZAKII: AN EMERGING CONTAMINANT IN PEDIATRIC INFANT MILK FORMULA
Bibliographic record
Abstract
Cronobacter sakazakii (C.sakazakii) previously known as Enterobacter sakazakii is a motile, Gram-negative, non-sporing yellow pigmented rod, which belongs to lethal Enterobacteriaceae family.C. sakazakii is ubiquitously found in air, soil, floor drains, and dry product processing environment.It has been isolated from hospitals, clinical materials, and cutting fluids and is also present in cerebrospinal fluid (CSF), blood, sputum, throat, nose, stool, gut, skin, wounds, bone marrow, eye, ear and breast abscesses.C. sakazakii is a virulent pathogen and can adhere to silicon, latex, polycarbonate, and stainless steel.Therefore, Feeding-bottles or utensils used to prepare pediatric infant formula (PIF) should be thoroughly cleaned to diminish the development of biofilms, which could be the source of infections.Due to its virulence, C. sakazakii causes life threatening infections such as septicemia, necrotizing enterocolitis, bacteriamia and meningitis.Hence, the regulatory authorities such as Food and Drug Administration (FDA), Food and Agriculture Organization/World Health Organization (FAO/WHO), Centers for Disease Control and Prevention (CDC) and Health Canada strongly recommend breast-feeding over the bottle-feed to minimize the risk of infections caused by C. sakazakii.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".