Bibliographic record
Abstract
In addition to the treatment of established HCMV disease, antivirals have also been used to prevent such symptomatic episodes, especially in transplant recipients. The fi rst strategy, defined as prophylaxis, consists of administering an antiviral to patients during the fi rst 3 months or so after transplantation. The second strategy, referred to as “preemptive therapy”, consists of using short courses of antivirals only for high-risk patients on the basis of evidence of active viral replication (e.g., detection of early HCMV antigens such as the pp65 protein or suffi cient amounts of viral DNA/ mRNA) (8). These preventive strategies have shown efficacy in preventing HCMV disease in both solid organ transplant (SOT) and hematopoietic stem cell transplant (HSCT) patients (9–11). However, some studies suggest that “prevention” may only delay, rather than truly prevent, the onset of HCMV disease in predisposed patients (10, 12–15).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.095 | 0.049 |
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".