Bibliographic record
Abstract
The paper by Roth and colleagues1 on a randomised controlled trial of BCG revaccination in Guinea-Bissau highlights the importance of conducting vaccine trials in developing countries as well as the ethical difficulties faced by investigators in these settings. Guinea-Bissau has an infant mortality rate of 117 per 1000 live births, the fifth highest rate in the world.2 The best hope for substantial improvements in child health comes from public health interventions, including effective vaccine programmes. Vaccine efficacy might be lower in developing countries because of poverty and malnutrition. Once the efficacy of a vaccine is established, however, it is commonly assumed that it will confer a proportional survival benefit. The results of the BCG revaccination trial show that non-vaccine factors might undermine this assumption, and the authors conclude correctly that trials should examine the impact …
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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 | 0.054 | 0.255 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.008 | 0.003 |
| Research integrity | 0.099 | 0.088 |
| Insufficient payload (model declined to judge) | 0.007 | 0.011 |
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".