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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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.006

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; both teacher heads agree on what is shown here.

Study designNot applicable
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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