Bibliographic record
Abstract
The human gut microbiome constitutes a diverse and dynamic community of microorganisms that inhabit the digestive tract. In recent years, there is growing appreciation for the role of the gut microbiome in host health and disease. Gut bacteria are involved in the pathogenesis of numerous medical conditions in a variety of medical fields including gastroenterology, metabolic, rheumatologic, neurologic and psychiatric disorders. Recently, evidence is mounting that gut bacteria could also play a role in chronic pain and specifically fibromyalgia (FM). The composition of the gut bacterial community is altered in individuals with FM, with an altered abundance of a small subset of bacterial species. Some of these species, either with increased or decreased abundance in patients, have established metabolic activity which could have pertinence in the expression of FM symptoms. The putative mechanisms which could allow these bacterial species to affect pain, fatigue, mood and other symptoms include the entry of short-chain-fatty-acids, bile acids, neurotransmitters and bacterial antigens into the host circulation. While these are merely the first steps in understanding the role of the gut microbiome in chronic pain and specifically FM, one might envision exciting future perspectives for better mechanistic understanding of FM, for the development of objective diagnostic aids and potentially for new therapeutic modalities.
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) | 0.000 | 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 teacher head, 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".