Bibliographic record
Abstract
The health and economic burden of methicillin-resistant Staphylococcus aureus (MRSA) in the medical realm is considerable. Although there is ample clinical and laboratory evidence indicating that methicillin-susceptible S. aureus (MSSA) is heterogeneous in disease causation, the same heterogeneity has not been well documented for MRSA. Data from animal models and human studies suggest that MRSA is at least as pathogenic as MSSA. Many comparative clinical studies, mainly retrospective, have assessed the virulence of MSSA and MRSA. Whereas the majority of these studies may be deficient in some aspects of clinical design, there has been a definite trend towards implicating MRSA as the more aggressive pathogen. Such an observation, however, must be tempered with the fact that few such studies have attempted to establish clonality among MRSA isolates. Thus, it is conceivable that hypervirulent clones may represent an important proportion of MRSA from hospital studies where patient-patient spread is likely and, accordingly, comparative studies may be biased. Future clinical studies should be prospective and should use well-defined and homogeneous patient groups. As well, for comparison of MRSA and MSSA, an understanding of clonality is essential.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".