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
The study of the bacterial transposons Tn10 and Tn5 has provided a wealth of information regarding steps in nonreplicative DNA transposition, transpososome dynamics and structure, as well as mechanisms employed to regulate transposition. The focus of ongoing research on these transposons is mainly on host regulation and the use of the Tn10 antisense system as a platform to develop riboregulators for applications in synthetic biology. Over the past decade two new regulators of both Tn10 and Tn5 transposition have been identified, namely H-NS and Hfq proteins. These are both global regulators of gene expression in enteric bacteria with functions linked to stress-response pathways and virulence and potentially could link the Tn10 and Tn5 systems (and thus the transfer of antibiotic resistance genes) to environmental cues. Work summarized here is consistent with the H-NS protein working directly on transposition complexes to upregulate both Tn10 and Tn5 transposition. In contrast, evidence is discussed that is consistent with Hfq working at the level of transposase expression to downregulate both systems. With regard to Tn10 and synthetic biology, some recent work that incorporates the Tn10 antisense RNA into both transcriptional and translational riboswitches is summarized.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 | 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