Immunisation uptake in Ireland at 12 and 24 months of age: Q2 2022
Bibliographic record
Abstract
"On Thursday, March 12th 2020, the government introduced measures as part of the national effort to interrupt the transmission of COVID-19; measures continued into 2021. Most measures were lifted Janaury 21 2022 while the remaining measures were lifted at the end of Feburary 2022. This report details immunisation uptake among children who were aged 12 or 24 months during Quarter 2 2022 and so were born in Q2 2020 and Q2 2021. The following need to be taken into consideration when interpreting Q2 2022 uptake data and in relation to previous quarters: in Q3 2020 it was reported that Dublin North are behind in data inputting going back to May 2020, in Q2 2021 some uptakes in Dublin North at 12 months were as low as 19% but rates in Q3 2021 were between 84.4-89.6% and rates in Q4 2021 were between 82.3-88.8%; some of the Q2 2022 data were extracted 9-10 weeks after quarter end (data are usually extracted approx. 8 weeks after quarter end) i.e. there are variation in dates of extraction of HSE Area data for this report."
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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".