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Record W4403948827 · doi:10.6002/ect.pedsymp2024.l11

Challenges and Possible Solutions to Pediatric Organ Donation and Transplantation in Turkey and the Middle East: Panel Discussion/Brainstorm Session Summary Report.

2024· article· en· W4403948827 on OpenAlexaff
Andrea Herrera‐Gayol, Marcelo Cantarovich, Mehmet Haberal

Bibliographic record

VenueExperimental and Clinical Transplantation · 2024
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsCanadian Institute of Mining, Metallurgy and Petroleum
Fundersnot available
KeywordsSession (web analytics)BrainstormingDonationTransplantationOrgan donationMedicineGeneral surgerySurgeryComputer sciencePolitical scienceLawWorld Wide Web

Abstract

fetched live from OpenAlex

Organ transplantation is the best therapeutic option for children with end-stage organ failure. Pediatric transplantation centers and prioritization of organs for children are being established around the world. However, there is an important discrepancy observed when comparing high-income countries versus low-income and middle-income countries, as programs are active in some, but not in many others. Deceased organ donation is low in many places, which has led to an increase of organ shortage; consequently, there is a need to rely on the use of living donor organs. This is frequently the case for pediatric transplantation. To gather information about the possible reasons underlying these challenges and to propose possible solutions, a brainstorming session took place during the International Symposium on Pediatric Organ Donation and Transplantation in Ankara, Turkey. A description on different topics that were discussed is presented herein.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.096
GPT teacher head0.355
Teacher spread0.258 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2024
Admission routes1
Has abstractyes

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