Bibliographic record
Abstract
The Francisella pathogenicity island (FPI) is a cluster of 16-19 genes, which is found duplicated in most of the Francisella genomes that have been sequenced. Although 16 FPI genes are highly conserved there are 2-3 putative genes that are absent or interrupted by stop codons in some strains. Francisella strains with experimentally induced mutations in FPI genes are highly attenuated in virulence and show defects in intramacrophage growth. There is experimental evidence indicating that the regulation of most FPI genes is affected by the presence of the virulence regulator MglA and by the concentration of iron in the growth medium. Although studies of mRNA expression show that essentially all FPI genes are transcribed, only a handful of FPI-encoded proteins have been detected by biochemical methods. The cumulative biochemical and genetic data to date have not yet been able to ascribe a biochemical function to any of the FPI-encoded proteins. However, bioinformatics analysis suggests that some of the FPI-encoded proteins are part of a type VI secretion system.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".