Challenges of implementing the Paediatric Surviving Sepsis Campaign International Guidelines 2020 in resource-limited settings: A real-world view beyond the academia
Bibliographic record
Abstract
Las Guías Internacionales de la Campaña Sobreviviendo a la Sepsis para el Manejo del Shock Séptico y la Disfunción de Órganos Asociada a la Sepsis en Niños, fueron publicadas en 2020 y están desti- nadas a ser utilizadas en todos los lugares que atienden a niños. Sin embargo, los profesionales que atienden a los niños con sepsis en entornos con recursos limitados se enfrentan a una serie de desafíos y perfiles de enfermedad distintos a los que se encuentran en entornos ricos en recursos. Basándonos en nuestra experiencia colectiva en entornos con recursos limitados, nos propusimos reflexionar so- bre las dificultades de aplicar las directrices internacionales. Creemos que hay una necesidad urgente de más evidencia de entornos con recursos limitados en enfoques factibles y eficaces para el trata- miento de la sepsis y el shock séptico que podrían incluirse en las futuras directrices para situaciones y contextos específicos.
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 | 0.168 | 0.267 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.020 | 0.015 |
| Open science | 0.006 | 0.017 |
| Research integrity | 0.015 | 0.025 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".