Bibliographic record
Abstract
A common theme emerging from microbial genome studies is that the genes required for pathogenic or symbiotic interactions with eukaryotic hosts are often part of the accessory gene pool of the microbe, acquired by horizontal transfer (5). They may be clustered on plasmids or on the chromosome as genomic islands. Within a particular environment, such islands provide a selective advantage to organisms that carry them, leading to the term “fitness islands” (7), with the pathogenicity islands (PAIs) that endow many bacterial pathogens with their virulence constituting a particular subset (1). In many cases it appears that the transfer machinery of genomic islands has been lost through reductive evolution following their acquisition, anchoring the islands in the host chromosome (2). However, a particularly striking example of a genomic island that has retained its transmissibility is the Mesorhizobium loti strain R7A symbiosis island. The research that led to the characterization of this island represents an engaging and attractive “case history,” in which initial findings from a field experiment have logically progressed to the report by Sullivan et al. (10) in this issue of the sequence and annotation of the entire 502-kb island. This work impacts on diverse areas of microbiology, including the rhizobium-legume symbiosis, microbial ecology, and microbial evolution.
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.
How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".