The road to effective and accessible antibody therapies against Ebola virus
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ebola virus (EBOV) outbreaks can claim thousands of lives, cripple healthcare systems and local economies. Effective vaccines and treatments against EBOV are therefore needed to limit the impact of this deadly disease. In 2019, a hallmark clinical trial demonstrated the efficacy of monoclonal antibody (mAb) against EBOV. Despite, this recent success, survival of individuals with high viremia remains low. Effective immunotherapies against other Ebolavirus species are still under pre-clinical development. More importantly, the cost of immunotherapies is prohibitive to most individual and affected countries. Novel manufacturing and administration strategies of mAb protein or genetic information could substantially reduce the cost of immunotherapies; hence making them valuable tools against EBOV and other infectious agents.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it