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Record W7164458018

Impact of recipient sex on long-term survival after liver transplantation in patients with high MELD

2024· article· en· W7164458018 on OpenAlex
Laia Aceituno, Christian Magyar, Zhihao Li, Marco Claasen, Tommy Ivanics, Erin Winter, Roxana Bucur, Nadia Rukavina, Woo Jin Choi, Nazia Selzner, Mamatha Bhat, Leslie Lilly, Cynthia Tsien, Keyur Patel, Markus Selzner, Ian Mcgilvray, Trevor Reichman, Chaya Shwaartz, Anand Ghanekar, M S Cattral, Blayne Sayed, Elmar Jaeckel, Gonzalo Sapisochin

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

VenueEUR Research Repository (Erasmus University Rotterdam) · 2024
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLiver transplantationLiver failureLiver diseaseSurvival analysisTransplantationSurvival rate
DOInot available

Abstract

fetched live from OpenAlex

ConclusionsOur findings show no sex differences in the overall survival in high MELD liver transplant recipients.Female patients with longer ICU admission, or requiring re-transplantation, were at higher risk of all-cause mortality.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.296
Teacher spread0.278 · 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