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Record W2989613107 · doi:10.1002/lt.25692

Liver Transplant Tourism

2019· review· en· W2989613107 on OpenAlexafffund
Zaid Hindi, Stephen E. Congly, Ephraim Tang, Anton Skaro, Mayur Brahmania

Bibliographic record

VenueLiver Transplantation · 2019
Typereview
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsFoothills Medical CentreUniversity of CalgaryLondon Health Sciences CentreWestern University
FundersWestern University
KeywordsMedicineCommercialismLiver transplantationMedical tourismTourismLiver diseaseIntensive care medicineTransplantationFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

Liver transplant tourism is travel for transplantation involving organ trafficking and/or transplant commercialism. Various medical, financial, and organizational factors play a role in transplant care including waiting lists, Model for End-Stage Liver Disease scores, and financial aid. We outline the international experiences with transplant tourism (TT) and its effect on their medical communities and patients. For clinicians providing care to patients involved in TT, we also discuss pretransplant counseling and posttransplant care.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.047
GPT teacher head0.310
Teacher spread0.263 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations17
Published2019
Admission routes2
Has abstractyes

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