<i>Staphylococcus, Streptococcus</i>, and <i>Bacillus</i>
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
This chapter focuses on the existing knowledge of the molecular basis for iron transport in the genera Staphylococcus, Streptococcus, and Bacillus. Staphylococci can be divided into two major groups: coagulase positive and coagulase negative. While coagulase-negative staphylococci (CoNS), notably Staphylococcus epidermidis, have come into prominence due to their opportunistic ability to colonize foreign medical devices, by far the most extensively studied staphylococcal species is coagulase-positive Staphylococcus aureus, owing to it being both a frequent and a highly versatile pathogen. The relative amounts of siderophore produced among various species and strains of Staphylococcus seem to vary remarkably and depends largely on culture conditions. The nomenclature of the genes is based on their homology to ferric hydroxamate transport proteins in Escherichia coli and Bacillus subtilis. For the most part, investigations into the ability of streptococci to transport iron have been limited to Streptococcus pneumoniae and Streptococcus pyogenes. B. anthracis is the causative agent of anthrax and has come into prominence recently due to its use as a biological weapon. The iron-restricted growth of B. cereus, a human pathogen, is inhibited by transferrin and lactoferrin but enhanced by hemoglobin, heme, and heme-albumin complexes. It is clear that molecular studies of iron transport systems in gram-positive bacteria, especially members of the genera Staphylococcus, Streptococcus, and Bacillus, are in their infancy.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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