Bibliographic record
Abstract
As the global prevalence of allergic asthma continues to rise, there is growing interest in exploring the relationship between the gut microbiome of the host and the ability to regulate allergic inflammation. This was prompted by several studies that commonly demonstrated a correlation between the presence of microbial-rich environments and lower levels of childhood allergic asthma. With constant antigen exposure, the mucosal immune system of the gut must regulate environmental stimuli, such as bacteria and food antigens, to sustain immune homeostasis. This is achieved by maintaining immune tolerance to support the gut mucosa’s commensal microbiota and mounting a simultaneous, controlled immune response to eliminate pathogenic species. The immune patterns of the gut microbiome are thought to shape allergic asthma progression through its shared immunomodulatory role with the airway microbiome. Currently, studies are examining the role regulatory B cells play in allergic asthma through immune regulation. This review will discuss the relationship between regulatory B cells and the gut microbiome in maintaining immune homeostasis within the allergic disease framework.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".