Consensus Meeting on International Standards for Oral Whole Cell Killed Cholera Vaccines, 17-18 May 2018, Seoul, Republic of Korea
Bibliographic record
Abstract
Cholera causes an estimated 3 million cases of watery diarrhea and 100,000 deaths globally per year. Although the long-term solution for cholera control lies in universal access to safe drinking water and adequate sanitation, Oral Cholera Vaccines (OCVs) are the most cost-effective measure to contain and prevent the disease and are recommended by the World Health Organization (WHO) as part of an integrated strategy to control cholera. Currently, three OCVs are WHO prequalified and two of these are part of the cholera vaccine stockpile. Other OCVs have been developed for national use or are under development. Lipopolysaccharide (LPS) Inhibition enzyme-linked immunosorbent assays (ELISAs) are used by both manufacturers of OCVs and national regulatory agencies (NRAs) for: in process analysis, as a potency assay for drug substance and drug product batch release, and as an indicator of stability during the shelf life of OCVs. To ensure quality and consistency of this assay performed by different OCV manufacturers and NRAs, harmonization of assay reagents by the introduction of WHO International Standards (IS) for essential reagents is desirable. In May 2018, the International Vaccine Institute (IVI) with assistance from National Institute of Biological Standards and Control (NIBSC) and financial support from the Bill and Melinda Gates Foundation (BMGF) organized a meeting with representatives from vaccine manufacturers, NRAs, leading research institutions and independent experts to discuss and share experiences on potency assays for batch release and select reagents of the LPS Inhibition ELISA as candidate WHO ISs.
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 | 0.037 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 0.009 |
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".