Bibliographic record
Abstract
Respiratory syncytial virus (RSV) is the most important cause of lower respiratory tract infection (LRTI) in infants and children and is associated with substantial morbidity in both inpatient and outpatient settings.Overall RSV is associated with 20 % of hospitalizations, 18 % of emergency department visits and 15 % of office visits for acute respiratory infections from November trough April [1].Bronchiolitis hospitalizations in children younger than 2 years old significantly increased from 3.3% in 2002 to 5.5% in 2007, mainly because of RSV infections in US [2].In Canada, inpatient care of RSV illness costs $ 18 million (US dollars) yearly, accounting for 62 percent of the total cost of this disease [3].The magnitude of the costs is understandable, since virtually all children become infected with RSV within two years after birth, and one percent requires hospitalization [4].Recurrent wheezing following serious RSV associated LRTI is a common phenomenon of the disease that might persist until adulthood [5].This Supplement of the Open Microbiology Journal focuses on that topic by a couple of review articles that represent a general clinical view.Therese Popow-Kraupp and Judith Aberle from the Institute of Clinical Virology of the Medical University of Vienna evaluate diagnostic tests for the detection of RSV including RSV rapid antigen detection tests from several specimen, nucleic acid assays and RTmultiplex PCRs as future trends.This chapter is followed by a review on the epidemiology of RSV infection in preterm infants by Bernhard Resch and Stefan Kurath from Austria and Paolo Manzoni from Italy.Especially due to the development of the humanized monoclonal antibody palivizumab that provides immunoprophylaxis against RSV when given monthly over the RSV season in high-risk
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".