Inactivation of<i>Zaire ebolavirus</i>Variant Makona in Human Serum Samples Analyzed by Enzyme-Linked Immunosorbent Assay
Bibliographic record
Abstract
Personnel deployed to remote areas during infectious disease outbreaks have limited access to mechanical and chemical inactivation resources. The inactivation of infectious agents present in diagnostic samples is critical to ensure the safety of personnel and the containment of the disease. We evaluated the efficacy of thermal inactivation (exposure to 56°C for 1 hour) and chemical inactivation with 0.5% Tween-20 against a high titer of Ebola virus (species Zaire ebolavirus) variant Makona in spiked human serum samples. No surviving virus was revealed by a 50% tissue culture infective dose assay after the combined treatment under laboratory conditions. In-field use of this inactivation protocol during the 2013-2016 West Africa Ebola outbreaks demonstrated readily detectable levels of immunoglobulin G and/or immunoglobulin M in human plasma samples after treatment.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".