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Record W4412851612 · doi:10.1016/j.ajt.2025.07.1641

Trial Design of the Phase 2 Study SHAMROCK Evaluating the Safety, Tolerability, and Efficacy of Efgartigimod PH20 SC in Adult Kidney Transplant Recipients with Antibody-Mediated Rejection

2025· article· en· W4412851612 on OpenAlexaff
Georg A. Böhmig, Mark Haas, Philip F. Halloran, Stanley C. Jordan, Christophe Legendre, K. Witvrouw, O. Van de Steen, Yu. K. Doronin, Inge Van de Walle, Steven Nijs, Ashley Vo, Maarten Naesens

Bibliographic record

VenueAmerican Journal of Transplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsUniversity of Alberta
FundersArgenxCSL Behring
KeywordsMedicineTolerabilityKidney transplantClinical trialKidney transplantationIntensive care medicineKidneyAdverse effectInternal medicine

Abstract

fetched live from OpenAlex

Purpose: To investigate the safety, tolerability, and efficacy of subcutaneous (SC) efgartigimod PH20 (co-formulated with recombinant human hyaluronidase PH20) injections in adult kidney transplant recipients with antibody-mediated rejection (AMR).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.026
GPT teacher head0.369
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations3
Published2025
Admission routes1
Has abstractno

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