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Record W4405256727 · doi:10.1016/j.jtct.2024.10.012

Serial Clinical and Biomarker Monitoring during Graft-Versus-Host Disease Treatment Identifies Distinct Risk Strata Including an Ultra-Low Risk Group

2024· article· en· W4405256727 on OpenAlexaff
Nikolaos Katsivelos, Nikolaos Spyrou, Daniela Weber, Ingrid Vášová, Francis Ayuk, Hannah Choe, William J. Hogan, Zachariah DeFilipp, Muna Qayed, Aaron Etra, Karam Sandhu, Sabrina Kraus, Tim Olson, Elizabeth O. Hexner, Paibel Aguayo‐Hiraldo, Ran Reshef, Evelyn Ullrich, Tal Schechter, Carrie L. Kitko, Chantiya Chanswangphuwana, Pietro Merli, Yu Akahoshi, Janna Baez, Gilbert Eng, Rahnuma Beheshti, Steven Kowalyk, George Morales, Ioannis Louloudis, Rachel Young, Ernst Holler, Ryotaro Nakamura, James L.M. Ferrara, John E. Levine

Bibliographic record

VenueTransplantation and Cellular Therapy · 2024
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNational Cancer InstituteCalifornia Department of Fish and GameElse Kröner-Fresenius-StiftungSwedish Orphan BiovitrumJosé Carreras Leukämie-StiftungDeutsche ForschungsgemeinschaftNational Institutes of HealthIncytebluebird bioSanofiPfizerPediatric Cancer Foundation
KeywordsBiomarkerHost (biology)MedicineDiseaseGraft-versus-host diseaseInternal medicineOncologyBiologyGenetics

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score1.000

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 head0.057
GPT teacher head0.341
Teacher spread0.284 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractno

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