A polymicrobial view of disease potential in Crohn's-associated adherent-invasive <i>E. coli</i>
Why this work is in the frame
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Bibliographic record
Abstract
The human gut is home to trillions of bacteria and provides the scaffold for one of the most complex microbial ecosystems in nature. Inflammatory bowel diseases, such as Crohn's disease, involve a compositional shift in the microbial constituents of this ecosystem with a marked expansion of Enterobacteriaceae, particularly Escherichia coli. Adherent-invasive E. coli (AIEC) strains are frequently isolated from the biopsies of Crohn's patients, where their ability to elicit inflammation suggests a possible role in Crohn's pathology. Here, we consider the origins of the AIEC pathovar and discuss how risk factors associated with Crohn's disease might influence AIEC colonization dynamics within the host to alter the overall disease potential of the microbial community.
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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 | 0.001 |
| 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 | 0.001 |
| 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