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Record W2779959149

'Non-heart-beating'-donornieren: eerst de ischemietijden verbeteren, dan pas de allocatie

2013· article· nl· W2779959149 on OpenAlex
J Homan van der Heide

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

VenueNederlandsch tijdschrift voor geneeskunde/Nederlands tijdschrift voor geneeskunde/NTvG-databank · 2013
Typearticle
Languagenl
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicineKidneyCold ischemiaIschemiaSurgeryCardiologyInternal medicineReperfusion injury
DOInot available

Abstract

fetched live from OpenAlex

A study recently published in The Lancet investigated the 3-year graft survival of heart-beating (HB) and non-heart-beating (NHB) kidney donors. This was done utilizing the UK registry. The study concluded that donor age affects graft survival. It also demonstrated that NHB kidneys tolerate cold ischemia less well than kidneys from HB donors. Based on these conclusions, it is suggested that a different allocation algorithm should be designed in order to reduce ischemic time for NHB donor kidneys. These findings are relevant to the Dutch situation in which more than 50% of postmortal kidney donors are now NHB. Despite past efforts, ischemic times in the Netherlands can still be improved compared to neighbouring countries. It is proposed that this matter be dealt with prior to changes in the allocation algorithm

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0030.003
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0040.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0140.013

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 head0.016
GPT teacher head0.256
Teacher spread0.240 · 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