Intestinal microbiota are transiently altered during<i>Salmonella</i>-induced gastroenteritis
Bibliographic record
Abstract
The mammalian GI tract contains a large and diverse ecosystem of microorganisms that play a profound role in our development and physiology. Interestingly, the microbial make-up within the intestine has been found to be altered in many clinically important diseases, including inflammatory bowel disease, irritable bowel syndrome, Types 1 and 2 diabetes, and obesity. Barman et al. used a Salmonella-induced murine model of gastroenteritis to show that the intestinal microbiota are transiently altered during the host inflammatory response to infection. These findings are of interest as understanding how the microbiota are altered during disease states may offer insight into which microbial populations are important in maintaining intestinal homeostasis. Recently, probiotics have been shown to modulate the mucosal immune system and improve intestinal barrier function, validating their potential as therapeutics for gastrointestinal-associated diseases. As we begin to understand the benefits conferred to the intestine by microbiota, the use of probiotics to modify its composition is an attractive option to improve human health.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.005 | 0.002 |
| 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".