Assessment of Documented Vaccination of Adolescent Schoolchildren in Various Cities of Russian Federation
Bibliographic record
Abstract
Epidemiological surveillance of preventive vaccinations implementation is the most crucial component in the immunoprophylaxis organization. Assessment of documented vaccination coverage indicators allows to determine the quality of routine preventive vaccination and indirectly evaluate the possible state of population immunity to vaccine preventable diseases. Continuous quality control of routine vaccination, therefore, is a component of the system for epidemic management of infectious diseases. Specific decisions should be based on its results to improve preventive vaccination quality. Сomparative analysis of the vaccination history in adolescents (studying in schools in large cities of different federal districts of Russian Federation) and recommended national immunisation schedule allowed to identify widespread systemic mistakes of vaccination status. These issues led to the uprise and spread of vaccine preventable diseases. The study results confirmed the topicality of awareness-raising activities among medical staff working on preventive vaccination. Moreover, long-standing need of vaccination schemes correction is also important through development of medical technology aimed on improvement of catch-up vaccination approach.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".