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Record W2321209078 · doi:10.14785/lpsn-2015-0015

A protocol for matched unrelated donor hematopoietic stem cell transplantations for severe combined immunodeficiency

2016· article· en· W2321209078 on OpenAlexaffvenue
Vy Hong-Diep Kim

Bibliographic record

VenueLymphoSign Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsHematopoietic stem cell transplantationImmunodeficiencyTransplantationHuman leukocyte antigenStem cellMedicineHematopoietic stem cellProtocol (science)ImmunologyHaematopoiesisInternal medicineBiologyImmune systemAntigenPathologyGenetics

Abstract

fetched live from OpenAlex

Hematopoietic stem cell transplantation using HLA-mismatched related donors for the treatment of severe combined immunodeficiency has led to disappointing outcomes at our institution. This created an impetus to consider other donor sources when an HLA-matched related donor was not available. In 1988, a new protocol using HLA-matched unrelated donors was developed at our institution and continues to be used to date. This has contributed to improved outcomes and change in practice for patients with severe combined immunodeficiency. Statement of novelty: This report describes in detail the protocol for hematopoietic stem cell transplantations using HLA-matched unrelated donors for patients with severe combined immunodeficiency at our institution. This protocol is published for those centres wishing for guidance in setting up procedures for hematopoietic stem cell transplantation.

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)0.013
metaresearch head score (Gemma)0.014
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: Not applicable
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.037
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0370.017

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 head0.031
GPT teacher head0.295
Teacher spread0.264 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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Same venueLymphoSign JournalSame topicHematopoietic Stem Cell TransplantationFrench-language works237,207