Maintaining Polio-Free Status in Indonesia During the COVID-19 Pandemic
Bibliographic record
Abstract
<h3>Key Messages</h3> Indonesia’s polio-free status as well as the 2023 global polio eradication target have been threatened by disruptions to immunization services caused by the coronavirus disease (COVID-19) pandemic and related restrictions. Fear of contracting COVID-19, human resource diversion, and travel restrictions posed barriers to delivering polio immunization services during the pandemic. To resume polio vaccination efforts and maintain polio-free status, Indonesia health authorities need to take action to: ∘Maximize vaccine service reach by mapping children who have not been vaccinated and monitor the vaccine supply chain ∘Integrate vaccine delivery with pandemic response efforts ∘Mobilize communities for advocacy and education ∘Adjust programs to address human resource, physical, and financial resource gaps ∘Strengthen monitoring and evaluation and surveillance efforts
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How this classification was reachedexpand
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".