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Record W3158245320 · doi:10.51451/np.v11i4.294

TRAUMATISMO TORÁCICO EN PEDIATRÍA

2016· article· es· W3158245320 on OpenAlexaff
Alicia Ebensperger O

Bibliographic record

VenueNeumología Pediátrica · 2016
Typearticle
Languagees
FieldMedicine
TopicTrauma Management and Diagnosis
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy

Abstract

fetched live from OpenAlex

El traumatismo torácico es la segunda causa de muerte por trauma en niños. Es causado por mecanismos de alta energía, principalmente accidentes de tránsito, siendo frecuentes las lesiones multisistémicas, lo que aumenta su gravedad. Un manejo adecuado requiere conocer y entender como la anatomía, fisiología y los patrones de las lesiones cambian a distintas edades y difieren del comportamiento en adultos. Los traumatismos de tórax pediátricos son mayormente contusos aumentando los traumatismos penetrantes en adolescentes. Las lesiones más comunes son la contusión pulmonar, hemotórax, neumotórax y fracturas costales las cuales pueden coexistir. Las lesiones de vía aérea, corazón y grandes vasos son raras pero muy graves. La mayoría de los traumatismos torácicos se resuelven con medidas de soporte hemodinámico, respiratorio y drenaje pleural. Es vital reconocer en evaluación inicial aquellas lesiones potencialmente letales, que no dan tiempo a evaluación radiológica.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.016
GPT teacher head0.275
Teacher spread0.259 · 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 designObservational
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

Citations1
Published2016
Admission routes1
Has abstractyes

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