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 syntrophic interactions, metabolic pathways are integrated over different cell types. This chapter focuses on two seemingly well-defined groups of secondary metabolites, quorum-sensing signals and antibiotics, to demonstrate that their described biological activities do not necessarily define their functional roles in microbial communities. The study of the biology of living organisms and associated biochemical processes has, to date, focused primarily on the structures and functions of DNA, RNA, proteins, lipids, carbohydrates, and their macromolecular complexes. Many bacteria regulate gene expression in response to accumulation of secondary metabolites, and this behavior has been collectively referred to as quorum sensing or cell-cell communication. The generalization of quorum sensing as a density-dependent process ignores the reality that most bacteria do not exist in well-stirred reactors and the signaling will largely be a local event between small groups of cells. The dual role of quorum-sensing signal and antibiotic is not exclusive to nisin, subtilin, and mercascidin peptide antibiotics. A bactericidal activity produced by a strain of Rhizobium leguminosarum that inhibited the growth of several related strains was purified and demonstrated to be a typical acyl homoserine lactone (AHL) [N-(3-hydroxy-7-cis-tetradecenoyl)-L-homoserine lactone]. The streptomycin and chloramphenicol resistance determinants were later shown to catalyze chemical inactivation of the corresponding antibiotic. In addition to the widespread occurrence of antibiotic resistance mechanisms, it has become apparent in recent years that there are many naturally occurring systems that interfere with cell-cell signaling pathways.
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 | 0.001 | 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