Three Cases of Vertical Transmission of Clade Ib Mpox Virus
Bibliographic record
Abstract
sponsorship: Supported by the Belgian Directorate-General for Development Cooperation and Humanitarian Aid (grant number, 914010), the European and Developing Countries Clinical Trials Partnership EDCTP3 (grant numbers, 101195465 and 101195146), the Research Foundation-Flanders (grant numbers, G096222N, to Drs. Liesenborghs and Muyembe-Tamfum, and 12B1M24N, to Dr. Van Dijck), the African Coalition for Epidemic Research, Response, and Training network (which is part of the EDCTP2 Program, supported by the European Union under grant agreement RIA2016E-1612), and the Japan Agency for Medical Research and Development (grant numbers, JP24fk0108637 and JP24fk0108660) and in part by the National Cancer Institute, National Institutes of Health (contract number, 75N91019D00024), and the Canadian Institutes of Health Research and International Development Research Centre (grant number, MRR-184813). (Belgian Directorate-General for Development Cooperation and Humanitarian Aid|914010, European and Developing Countries Clinical Trials Partnership EDCTP3|101195465, European and Developing Countries Clinical Trials Partnership EDCTP3|101195146, Research Foundation-Flanders|G096222N, Research Foundation-Flanders|12B1M24N, African Coalition for Epidemic Research, Response, and Training network (EDCTP2 Program - European Union)|RIA2016E-1612, Japan Agency for Medical Research and Development|JP24fk0108637, Japan Agency for Medical Research and Development|JP24fk0108660, National Cancer Institute, National Institutes of Health|75N91019D00024, Canadian Institutes of Health Research and International Development Research Centre|MRR-184813)
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".