Bibliographic record
Abstract
Pathogens causing transmissible viral hemorrhagic fevers are therefore classified internationally at the most dangerous hazard level. Most of them may be transmitted through the respiratory tract into human being. For this reason aerosol dissemination of viral pathogens may be considered as biological weapon. The clinical presentation of Ebola virus-infected patients is difficult to distinguish from other infections in the first steps of disease. A rash develops in 25–52% of patients in the first week and hemorrhagic manifestations are noted in some patients after a few days of illness. Tetherin/BST-2 has been identified as an effective cellular factor that prevents Ebola virus hemorrhagic fever as similarly the newly introduced Zmapp. Two proposals vaccines - cAd3-EboV (cAd3) produced by GlaxoSmithKline, and the US National Institute of Allergy and Infectious Diseases and rVSVΔG-EboV-GP (rVSV) produced by NewLink Genetics and Public Health Agency of Canada – were discussed in the last period as effective in prevention of Ebola virus hemorrhagic fever.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".