Evaluación del componente infantil del Seguro Público de Salud de la Provincia de Buenos Aires
Bibliographic record
Abstract
OBJECTIVE: Evaluate if the Insurance strengthened the primary care role and enhanced healthcare access and comprehensiveness. MATERIALS AND METHODS: Through a household survey (n=2 413; year 2006) we collected data on utilization of health services by under 8 year old beneficiaries from 8 municipalities. We used hypothesis tests to identify significant differences between municipal profiles of Insurance implementation and beneficiaries grouped by utilization patterns. RESULTS: Although more than 95% of children received medical healthcare in each municipality (using the Insurance and other services), the Insurance utilization varied significantly by municipal profile. Access to comprehensive healthcare and consultation rates were significantly higher for those beneficiaries who used the Insurance along with other health services, compared with those who only used the Insurance services. Use of hospitals was significantly lower within Insurance users. CONCLUSION: The Insurance was more effective when implemented and used in conjunction with the municipal networks of health services.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".