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Record W2113920407 · doi:10.1016/j.bbmt.2006.12.329

324: Treatment of steroid-resistant graft-versus-host disease with monoclonal antibodies in children

2007· article· en· W2113920407 on OpenAlexaff
Tali Schechter, Shoaib Afzal, Yaron Finkelstein, Gideon Koren, Joshua Doyle, L. Lee Dupuis

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2007
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineMonoclonal antibodyHost (biology)DiseaseImmunologyAntibodyVirologyInternal medicineGenetics

Abstract

fetched live from OpenAlex

Introduction: Acute graft-versus-host disease (aGVHD) carries a major risk of morbidity and mortality in patients undergoing hematopoietic stem cell transplantation (HSCT). The prognosis is poor if aGVHD does not respond to corticosteroid treatment. Recently, monoclonal antibodies such as daclizumab, a humanized monoclonal IgG1, and infliximab, a chimeric monoclonal antibody that binds the precursor of tumor-necrosis factor-alfa, have shown promising results in the treatment of corticosteroid-resistant aGVHD.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.260
Teacher spread0.248 · 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 designNon-randomized trial
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
Published2007
Admission routes1
Has abstractno

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