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Record W2336455104 · doi:10.1038/bmt.2016.89

Impact of early CMV reactivation in cord blood stem cell recipients in the current era

2016· article· en· W2336455104 on OpenAlexaff
Muthalagu Ramanathan, Pierre Teira, Minoo Battiwalla, John Barrett, Kwang Woo Ahn, M Chen, J Green, Mary Laughlin, Hillard M. Lazarus, D I Marks, Ayman Saad, Matthew D. Seftel, Wael Saber, Bipin N. Savani, Edmund K. Waller, John R. Wingard, Jeffery J. Auletta, Caroline A. Lindemans, Michael Boeckh, Marcie Riches

Bibliographic record

VenueBone Marrow Transplantation · 2016
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsPrincess Margaret Cancer CentreUniversité de Montréal
FundersNational Institutes of HealthNational Cancer InstituteNational Heart, Lung, and Blood InstituteHealth Resources and Services AdministrationNational Institute of Allergy and Infectious DiseasesAmgen
KeywordsMedicineSerostatusTransplantationCord bloodSerologyIncidence (geometry)Internal medicineImmunologyCytomegalovirusStem cellHematopoietic stem cell transplantationGraft-versus-host diseaseCumulative incidenceBetaherpesvirinaeGastroenterologyHerpesviridaeViral diseaseAntibodyVirusViral load

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 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)0.002
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.326
Teacher spread0.292 · 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

Citations40
Published2016
Admission routes1
Has abstractno

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