Análisis de situación de los servicios obstétricos en el primer nivel de atención en la Provincia de Esmeraldas
Bibliographic record
Abstract
A situational analysis of obstetric services offered by the centers of primary health care in the province of Esmeraldas is important because it gives us the basic information to achieve international objectives made at the Millennium Development Goals (MDGs), which is concerning about to improve maternal health, reducing maternal mortality and the mortality rate of children under 5 years. For this we used a statistical tool designed by several institutions specialized in obstetric neonatal health in Canada, applied at national and international level that evaluate knowledge and skills of staff that are in charge of health care, infrastructure and medical equipment, which was applied within 8 health sub-centers at the province of Esmeraldas which were: Subcentro #1 Esmeraldas, San Mateo, San Rafael, Tachina, Camarones, Lagarto, Montalvo, Rocafuerte . After applied the evaluation we can concluded that both the skills of the staff for health care neonatal and obstetric gynecology as infrastructure and medical equipment from different subcenters is insufficient and therefore must implement regulatory strategies , planning, control and provision of services for a network of quality health care users.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".