MétaCan
Menu
Back to cohort
Record W4283077433 · doi:10.1016/j.xjtc.2022.06.008

Successful use of a hepatitis C viremic donor in pediatric bilateral lobar lung transplantation

2022· article· en· W4283077433 on OpenAlex
M Kawashima, Elias Seidl, Hartmut Grasemann, Seyed Alireza Rabi, Terunaga Inage, Kazuhiro Yasufuku, Shaf Keshavjee, Jordan J. Feld, Marcelo Cypel

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

VenueJTCVS Techniques · 2022
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsHospital for Sick ChildrenToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineLung transplantationHepatitis CLiver transplantationTransplantationVirologySurgery

Abstract

fetched live from OpenAlex

Reduced availability for properly sized donors can result in longer wait times for children compared with adults awaiting lung transplantation (LT). Increasing the donor pool for listed pediatric patients is therefore a priority. Lungs from donors infected with hepatitis C virus (HCV) have been used successfully for transplantation in adults using antiviral agents immediately in the recipients to prevent chronic HCV infection. Here, we report the first case of a pediatric bilateral lobar LT from an HCV nucleic acid amplification testing (NAT)-positive donor.

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 score0.033
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.308
Teacher spread0.288 · 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