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Record W6901614510 · doi:10.60692/m5k73-wha35

Challenges of implementing the Paediatric Surviving Sepsis Campaign International Guidelines 2020 in resource-limited settings: A real-world view beyond the academia

2021· article· es· W6901614510 on OpenAlexaff

Bibliographic record

VenueGreater South Information System · 2021
Typearticle
Languagees
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsSickKids FoundationCanadian Red Cross SocietyHospital for Sick ChildrenBC Children's Hospital
Fundersnot available
KeywordsSepsisSeptic shockShock (circulatory)Intensive care

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.168
metaresearch head score (Gemma)0.267
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.168
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1680.267
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0050.011
Scholarly communication0.0200.015
Open science0.0060.017
Research integrity0.0150.025
Insufficient payload (model declined to judge)0.0100.002

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.

Opus teacher head0.112
GPT teacher head0.334
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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