Community‐Acquired Methicillin‐Resistane <i>Staphylococcus aureus</i>: Getting over It
Bibliographic record
Abstract
There are three sure things in life: death, taxes and antimicrobial resistance appearing on the heels of the introduction and widespread use of an antimicrobial agent. Staphylococcus aureus has always been a poster child for the emergence of antimicrobial resistance (1). Penicillin‐resistant strains of S aureus surfaced immediately following the introduction of penicillin in the late 1940s; within a few years, most hospital strains were penicillin resistant. There was also the rapid emergence of methicillin‐resistant S aureus (MRSA) following the introduction of methicillin in the 1960s. While the replacement of nosocomial methicillin‐susceptible S aureus by MRSA has proceeded at different rates in different regions, the overall global progression has been relentless. MRSA became common in Canadian health care facilities later than in the United States; however, since the early 1990s, nosocomial MRSA in Canada has steadily and irrevocably increased (2).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".