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Record W2621091035 · doi:10.1503/cjs.016016

Vascular control during laparoscopic kidney donation

2017· article· en· W2621091035 on OpenAlexaffvenueabout
Thomas McGregor, Premal Patel, Alp Şener, Gabriel Chan

Bibliographic record

VenueCanadian Journal of Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsUniversité de MontréalQueen's UniversityUniversity of ManitobaWestern University
Fundersnot available
KeywordsMedicineCLIPSNephrectomyKidney donationSurgeryGold standard (test)Kidney transplantationDonationGeneral surgeryTransplantationIntensive care medicineKidneyInternal medicine

Abstract

fetched live from OpenAlex

SUMMARY: Laparoscopic donor nephrectomy (LDN) is the gold standard for kidney donation. Recent literature has led to considerable debate regarding the safest route to provide vascular control during this procedure. The most common devices used for vascular control during LDN are staplers and surgical clips. Opinions regarding the safety of these devices vary, as both are prone to dysfunction. Certain clips have already been contraindicated for use on the donor artery owing to reports of catastrophic complications of falling off. Donor safety is paramount to the continued success of renal transplantation in Canada. A review of existing practice at each institution may be called for to ensure the safest standards possible are in place. An appendix to this commentary is available at canjsurg.ca.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.339

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 head0.022
GPT teacher head0.242
Teacher spread0.220 · 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

Citations8
Published2017
Admission routes3
Has abstractyes

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