Chapter 8 The interplay between the microbiota and the central nervous system during neurodevelopment
Bibliographic record
Abstract
Recent advances in technology and research have led to tremendous strides in understanding the critical role of gut bacteria in neurodevelopment. Both the presence and composition of this intestinal community influences various aspects of central and enteric nervous systems physiology, thus shaping behaviour and neural function. Furthermore, signalling along the gut-brain axis, even through a single bacterial species, can alter the developmental trajectory of the stress circuitry and functional responses to stress. Gut-brain signalling is complex and bidirectional, mediated through multiple candidate pathways that enable this interplay, including the vagus nerve, the immune system, and an array of metabolite mediators. Given the sensitivity of the early developmental period to environmental perturbations, and the possible long-term consequences on the onset of neurodevelopmental and psychiatric conditions, further understanding of the mechanisms underlying gut-brain signalling and its role in development is critical to gaining insight into such conditions and identifying potentially novel therapeutic strategies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.013 |
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".