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Record W2018691826 · doi:10.1016/j.rmclc.2015.06.023

HEPATITIS ALOINMUNE FETAL

2015· article· es· W2018691826 on OpenAlexaff
Fernando Álvarez C., Germán Errázuriz F., Jorge Godoy L.

Bibliographic record

VenueRevista Médica Clínica Las Condes · 2015
Typearticle
Languagees
FieldMedicine
TopicPediatric Hepatobiliary Diseases and Treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineFetusEtiologyLiver transplantationPregnancyHepatitisLiver diseaseDiseaseGynecologyTransplantationImmunologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Resumen La hepatitis aloinmune fetal, conocida anteriormente como hemocromatosis neonatal, ha demostrado en los últimos años ser una enfermedad completamente distinta a la hemocromatosis del adulto, tanto en su etiología como en su la fisiopatología. Este conocimiento abre nuevas perspectivas tanto en la prevención de la enfermedad en futuros embarazos, así como en el tratamiento con inmunoglobulina endovenosa en la madre durante el embarazo y eventualmente el tratamiento postnatal, en el que el trasplante de hígado juega un rol primordial.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.031
GPT teacher head0.304
Teacher spread0.273 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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