Evidence from large Danish cohort does not support an association between the MMR vaccine and autism: facts in a post-truth world
Bibliographic record
Abstract
In a cohort of 657 461 children born in 1999–2010, no association between the measles mumps and rubella (MMR) vaccination and autism was observed. Despite this, it is unclear whether increasing medical evidence and facts about the lack of association between the MMR vaccination and autism will have beneficial impact in easing the minds of parents and preventing unnecessary deaths. Prior to the availability of a measles vaccination in 1963, the majority of children contracted measles by the age of 15. Approximately 3–4 million US citizens were infected annually, with about 400–500 deaths, 48 000 hospitalisations and 1000 cases of encephalitis due to measles.1 Lofty aims were the complete eradication of measles by the early 1980s; the goal was finally achieved in the USA in 2000. This was due to a highly effective programme for vaccination. This success was at a time when the population believed in institutions, collective action and in the pursuit of the advancement of health and reduction in death, poverty and disease. Fast-forward 20 years and we are confronted with media headlines in New York City declaring a public health emergency with the Brooklyn measles outbreak: 285 confirmed cases of …
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".