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Record W1593301764 · doi:10.5546/aap.2014.542

Atresia biliar: una enfermedad grave

2014· article· es· W1593301764 on OpenAlexaff
Margarita Ramonet, Mirta Ciocca, Fernando Alvarez

Bibliographic record

VenueArchivos Argentinos de Pediatria · 2014
Typearticle
Languagees
FieldMedicine
TopicPediatric Hepatobiliary Diseases and Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBiliary atresiaMedicineLiver transplantationCholestasisNeonatal cholestasisJaundiceAtresiaGastroenterologySerum bilirubinExtrahepatic Bile DuctsDiseaseInternal medicineSurgeryTransplantationBilirubinBile duct

Abstract

fetched live from OpenAlex

Biliary atresia is a serious disease of unknown cause, affecting newborns. An inflammation and progressive destruction of the bile ducts lead to jaundice, dark urines, and acholia, between the second and sixth weeks of life. Neonatal cholestasis could be due to several different diseases, thus a diagnosis of biliary atresia and early derivation for surgical treatment are necessary to allow a restoration of the bile flow. Eighty percent of the children normalize serum bilirubin after the portoenterostomy (Kasai operation), if they are operated before their 45 days of life. When Kasai operation fails, a liver transplantation is the only possibility. Biliary atresia must be diagnosed before the first month of life and must be considered as a surgical emergency.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.004

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 head0.011
GPT teacher head0.283
Teacher spread0.272 · 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 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

Citations8
Published2014
Admission routes1
Has abstractyes

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