Consenso salud materna para Chile en el nuevo milenio
Bibliographic record
Abstract
Contexto: Chile presenta una tendencia secular hacia una sostenida mejoria en los principales indicadores materno-infantiles. Su situacion constituye una experiencia positiva a nivel de la region de Latino-America y el Caribe. Sin embargo, esta tendencia se ha estancado en los ultimos diez anos lo que produce una situacion inestable y preocupante desde el punto de vista de la salud publica materna. Esto motiva una reunion de expertos a nivel nacional e internacional para proponer estrategias para el alto nivel politico orientadas a alcanzar los Objetivos 4 y 5 del Milenio. Conclusion: Este documento de consenso sobre mortalidad materna, sugiere un enfrentamiento en dos ejes: primero, enfrentar la nueva realidad epidemiologica desde la etapa pre-concepcional, esto incluye considerar la alta prevalencia de obesidad, hipertension arterial, diabetes, hiperlipidemias e hipotiroidismo en la poblacion, y por otro lado reforzar la seguridad de la asistencia del embarazo, parto y puerperio en los lugares mas alejados y mas vulnerables del pais. Es necesario focalizar las intervenciones en los grupos de mayor riesgo vital (edades extremas de la vida fertil y portadoras de enfermedades medico-quirurgicas severas, que se reflejan en el aumento proporcional de las causas indirectas de muerte materna), reforzar las actividades de auditorias de mortalidad/near miss, asi como controlar el aumento alarmante de la tasa de partos por cesareas.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".