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Record W2975064071 · doi:10.5546/aap.2017.eng.175

Neonatal acute liver failure: a diagnosis challenge

2017· article· es· W2975064071 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArchivos Argentinos de Pediatria · 2017
Typearticle
Languagees
FieldMedicine
TopicNeonatal Health and Biochemistry
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineLiver transplantationLiver failureCoagulopathyViral hepatitisLiver diseaseHepatitisTransplantationPediatricsImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Neonatal acute liver failure is a rare, very severe disease with a high rate of mortality. It is clinically and etiologically different from acute liver failure seen in older children and adults. Coagulopathy with an international normalized ratio ≥ 3 is the critical parameter that defines it. The most common causes are fetal alloimmune hepatitis, previously called neonatal hemochromatosis, viral infections, metabolic disorders, and hemophagocytic lymphohistiocytosis. There is a group of treatable diseases that require a very early diagnosis for the prescription of an adequate treatment. Patients should be immediately referred to a specialized facility where pediatric liver transplantation is available to implement such therapeutic alternative, if indicated.

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.

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 score0.419
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
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.020
GPT teacher head0.303
Teacher spread0.283 · 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