MétaCan
Menu
Back to cohort
Record W4391722392 · doi:10.1002/ajh.27243

Donor germ‐line variants associate with outcomes of allogeneic hematopoietic stem cell transplantation in patients with myelodysplastic syndromes

2024· letter· en· W4391722392 on OpenAlexfundno aff
Paul L. Auer, Manzur Farazi, Tao Zhang, Jing Dong, Yung‐Tsi Bolon, Stephen R. Spellman, Wael Saber

Bibliographic record

VenueAmerican Journal of Hematology · 2024
Typeletter
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
FundersCancer MoonshotNational Institute of Allergy and Infectious DiseasesOffice of Naval ResearchLegend BiotechPharmacyclicsTakeda OncologyU.S. NavyHealth Resources and Services AdministrationNational Institutes of HealthMorphoSysAstellas PharmaAdaptive BiotechnologiesNorges IdrettshøgskoleKiadis Pharmabluebird bioTG TherapeuticsJazz PharmaceuticalsSwedish Orphan BiovitrumOmeros CorporationVertex PharmaceuticalsStemCyteBeiGeneHistoGeneticsU.S. Department of DefenseMoonshot Research and Development ProgramSanofiGlaxoSmithKlineActinium PharmaceuticalsCareDxIncytePfizerNational Heart, Lung, and Blood InstituteNovartis Pharmaceuticals CorporationCSL BehringBristol-Myers SquibbAstraZenecaAmgenMallinckrodt PharmaceuticalsAstellas Pharma USAtara BiotherapeuticsNational Cancer InstituteGilead Sciences
KeywordsMyelodysplastic syndromesStem cellMedicineHematopoietic stem cell transplantationTransplantationOncologyGermlineHematopoietic cellHaematopoiesisInternal medicineBiologyGeneticsBone marrowGene

Abstract

fetched live from OpenAlex

Overall survival probability for MDS patients who underwent allo-HCT and were matched to donors that are wild-type (red) and heterozygous (blue) for the rs111224634 SNP.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.253
Teacher spread0.243 · 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
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 abstractyes

Explore more

Same venueAmerican Journal of HematologySame topicAcute Myeloid Leukemia ResearchFrench-language works237,207