Quorum sensing in <i>Pseudomonas aeruginosa</i> biofilms
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
In nature, the bulk of bacterial biomass is believed to exist as an adherent community of cells called a biofilm. Pseudomonas aeruginosa has become a model organism for studying this mode of growth. Over the past decade, significant strides have been made towards understanding biofilm development in P. aeruginosa and we now have a clearer picture of the mechanisms involved. Available evidence suggests that construction of these sessile communities proceeds by many different pathways, rather than a specific programme of biofilm development. A cell-to-cell communication mechanism known as quorum sensing (QS) has been found to play a role in P. aeruginosa biofilm formation. Because both QS and biofilms are impacted by the surrounding environment, understanding the full involvement of cell-to-cell signalling in establishing these complex communities represents a challenge. Nevertheless, under set conditions, several links between QS and biofilm formation have been recognized, which is the focus of this review. A role for antibiotics as alternative QS signalling molecules influencing biofilm development is also discussed.
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 | 0.000 | 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