PLOS Science Wednesday: Hi Reddit, I’m Sara Carazo and my recent PLOS NTDS article discusses the challenges of implementing a clinical trial during the Ebola emergency in Guinea – Ask Me Anything!
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
Hi Reddit, I am Sara Carazo, a medical doctor working for a long time with MSF (Médecins Sans Frontières). In 2005 I participated to the MSF response to a Marburg epidemic in Angola and in December 2014-January 2015 I was the MSF medical referent person for the Ebola clinical trial testing favipiravir in Gueckédou, Guinea. Since 2014 I am doing a PhD in Epidemiology at Laval University, Québec. My current research topic is on measles vaccination. My colleagues and I recently published in PLOS NTDS the article: Challenges in preparing and implementing a clinical trial at field level in an Ebola emergency: A case study in Guinea, West Africa. It is a viewpoint where we critically review all the challenges that we encountered to implement a clinical trial in the context of an uncontrolled Ebola virus epidemic and a vulnerable resource-poor setting of rural Guinea. I will be answering you questions at 1pm ET – Ask Me Anything!
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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