The Staphylococci and Staphylococcal Pathogenesis
Bibliographic record
Abstract
Over the past 30 years, the scientific literature has been rife with articles that have chronicled the enduring threat and changing nature of Staphylococcus aureus as a leading cause of infectious morbidity and mortality to humans (Sheagren, 1984;Archer, 1998;Lowy, 1998;Otto, 2010).The most current surveys indicate that S. aureus is responsible for almost 500,000 hospitalizations and 30,000 deaths annually in the USA (Klein et al., 2007).At the turn of the twentieth century, the major threat was hospital-associated strains of methicillin resistant S. aureus (HA-MRSA) that are resistant to multiple antibiotics, and reports that some had acquired high level vancomycin resistance (Pearson, 2002;Weigel et al., 2003) seemed to assure the inevitable proliferation of strains that are resistant to all antibiotics.Although this crisis has not yet materialized, we have instead experienced the sudden emergence and global dissemination of hyper-virulent strains of community acquired MRSA (CA-MRSA).Another unexpected threat was the emergence of CA-MRSA in animal adapted strains of S. aureus, and their zoonotic transmission to humans.Conversely, some livestockassociated strains have undergone a recent evolutionary transition from human to animal hosts.Amidst this backdrop of newly emergent strains, common clonal types of HA-MRSA and methicillin susceptible S. aureus (MSSA) persist in their threat to health care, and attempts to lessen the impact through vaccine development have thus far been unsuccessful.In this Special Topics issue, recent advances in Staphylococcal research are captured in a collection of research, review, opinion, and methods articles, which we have assigned to the general themes of vaccine development, virulence, and immune evasion, metabolic activity in response to host environment, methods development, and comparative genomics and genome 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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".