Why and Where to Look in the Environment with Regard to the Etiology of Inflammatory Bowel Disease
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
As inflammatory bowel disease (IBD) continues to emerge with rising prevalence rates in the developed world and rising incidence rates in the developing world, it has become clear that environmental factors play a critical role in disease etiology. While no single environmental factor has been proven to have a definite causative role, there are several leading candidates. Smoking has been shown to adversely impact on the course of Crohn's disease (CD), but is neither necessary nor sufficient to cause CD. Considering that the countries with the highest smoking rates in the world have among the lowest rates of CD, it is more likely that smoking modulates CD once it is present as opposed to being directly causative. Diet likely plays a role, perhaps by modulating the gut microbiome directly or indirectly by impacting on the gut immune homeostasis. Antibiotics have become ubiquitously prescribed in the developed world and their emergence coincided with the emergence of IBD in the middle of the 20th century. Antibiotic use is also increasing in the developing world, and perhaps by modulating the gut microbiome this may be facilitating the emergence of IBD where it was rare 40 years ago. Finally, personal stress has intestinal physiological and immunological effects and is assuming an increasing role in the management of IBD.
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 | 0.000 | 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 | 0.001 | 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