Bibliographic record
Abstract
BACKGROUND: Human metapneumovirus (hMPV) is a recently described human pathogen first identified in respiratory specimens of young children suffering from respiratory syndromes ranging from mild to severe. METHODS AND RESULTS: Virological studies have reported the presence of hMPV infections in many countries from all continents. Seroprevalence studies have indicated that the virus has been circulating in humans for more than 50 years and that it infects virtually all children by the ages of 5-10 years. In young children, hMPV has been mainly associated with bronchiolitis but also with pneumonitis, otitis media and acute exacerbation of asthma. The contribution of hMPV in respiratory syndromes of adults has been studied considerably less; initial studies have indicated a role for this pathogen in flu-like syndromes and in significant percentages of chronic obstructive pulmonary disease exacerbations and cases of community-acquired pneumonia during the winter-spring period. Both primate and rodent experimental models have been used to characterize the pathogenesis of this respiratory virus. In some of these models, intranasal hMPV inoculation has elicited not only important viral replication but also significant pulmonary inflammation and clinical disease. Recently a few groups have developed reverse genetic systems for hMPV, allowing a better understanding of viral pathogenesis and generation of attenuated viral strains for immunization. CONCLUSIONS: Recent studies on hMPV have provided a better understanding of the epidemiology and pathogenesis associated with this viral infection, and have enhanced the prospect of developing efficient therapeutic agents and vaccine candidates.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".