Targeting host-microbial interactions to develop otitis media therapies
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
Otitis media (OM; middle ear infection) is the most common reason for pre-school children to visit a doctor, be prescribed antimicrobials, or undergo surgery. Recent Cochrane reviews of clinical trials have identified that antibiotics and grommet surgery are only moderately effective in treating OM, with recurrent or persistent infection observed in one-third of children. Research efforts are focusing on developing improved therapies to treat OM and prevent disease recurrence. The recurrent nature of OM is mostly due to the persistence of bacterial pathogens within established biofilm in the middle ear. Promising novel therapies are harnessing host-microbe interactions to disrupt middle ear biofilm and permit antibiotics to work more effectively. New approaches are also being developed to prevent OM, including new vaccines and mining the host respiratory microbiome to develop novel bacterial therapies. This review describes how our improved knowledge of human and microbial interactions is driving development of OM therapies to improve health outcomes for children in Australia and worldwide.
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 | 0.001 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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