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Record W3148576202 · doi:10.1016/j.bbmt.2015.01.004

Impact of Serotherapy on Immune Reconstitution and Survival Outcomes after Stem Cell Transplantations in Children: Thymoglobulin Versus Alemtuzumab

2015· letter· en· W3148576202 on OpenAlexaff
Jan Storek

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2015
Typeletter
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity of Calgary
FundersSanofi
KeywordsMedicineAlemtuzumabAnti-thymocyte globulinGraft-versus-host diseaseThymoglobulinHematopoietic stem cell transplantationTransplantationStem cellImmunologyInternal medicineCumulative incidenceGastroenterologyBiologyTacrolimus

Abstract

fetched live from OpenAlex

The administration of antibodies targeting T cells and other immune cells (“serotherapy” or “in vivo T cell depletion”) to prevent graft-versus-host disease (GVHD) appears beneficial. For rabbit polyclonal “anti–T cell globulin” (ATG), five randomized and multiple nonrandomized studies have shown that, in the setting of adult marrow or mobilized blood stem cell transplantation using myeloablative conditioning, ATG given with conditioning prevents GVHD without compromising relapse incidence or survival [1].

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.278
Teacher spread0.258 · 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 designObservational
Domainnot available
GenreCommentary

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

Citations6
Published2015
Admission routes1
Has abstractyes

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