Generating bowel movements that facilitate nutrient absorption
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When nutrients enter the intestine from the stomach, the movements of the intestine caused by contractions of the intestinal musculature (“intestinal motility”) have to fulfill the function of mixing the content with digestive enzymes and optimizing absorption by exposing all content to the lining of the gut. Intestinal motility is performed by smooth muscle cells and orchestrated by intestinal pacemaker cells and by a nervous system that is unique to the intestine. Movements to promote mixing are called “segmentation”, and movements that propel content along are called “peristalsis”. Peristalsis and segmentation in the human intestine are rhythmic and are governed by pacemaker cells called “interstitial cells of Cajal” or “ICC”. With peristalsis, a network of pacemaker cells generates a wave of electrical activity that propagates into the musculature and determines the rhythm and propagation of contraction, similar to the pacemaker system of the heart. A recent discovery published in Nature Communications revealed that the segmentation motor pattern is initiated by certain nutrients that activate a second network of pacemaker cells. This second pacemaker activity is an electrical rhythmic signal that interacts with the first pacemaker activity, modifying it in such a way that the musculature responds with a completely different motility pattern; it changes the nature of the contractions from peristalsis to non-propulsive segmentation.
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.
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 | 0.001 | 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 it