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Record W4392200316 · doi:10.1038/s41409-023-02190-2

International recommendations for screening and preventative practices for long-term survivors of transplantation and cellular therapy: a 2023 update

2024· review· en· W4392200316 on OpenAlexaff
Seth J. Rotz, Neel S. Bhatt, Betty K. Hamilton, Christine Duncan, Mahmoud Aljurf, Yoshiko Atsuta, Kristen Beebe, David Buchbinder, Peggy Burkhard, Paul A. Carpenter, Naeem Chaudhri, Mohamed Elemary, Mahmoud Elsawy, Gregory M.T. Guilcher, Nada Hamad, Amado Karduss, Zinaida Perić, Duncan Purtill, Douglas Rizzo, Morgani Rodrigues, Maria Belén Rosales Ostriz, Nina Salooja, Hélène Schoemans, Adriana Seber, Akshay Sharma, Alok Srivastava, Susan K. Stewart, Navneet S. Majhail, Rachel Phelan

Bibliographic record

VenueBone Marrow Transplantation · 2024
Typereview
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsAlberta Children's HospitalQueen Elizabeth II Health Sciences CentreDalhousie UniversityUniversity of CalgaryUniversity of Saskatchewan
FundersNational Center for Advancing Translational SciencesNational Institute of Environmental Health SciencesNational Institute of Allergy and Infectious DiseasesGilead SciencesNational Cancer InstituteOffice of Naval ResearchHealth Resources and Services AdministrationNagoya City UniversityPfizerHCA HealthcareIncyteSangamo TherapeuticsAdaptive BiotechnologiesUniversity of PennsylvaniaVertex PharmaceuticalsActinium PharmaceuticalsSt. Jude Children's Research HospitalMemorial Sloan-Kettering Cancer CenterSanofiGateway for Cancer ResearchBristol-Myers SquibbAmgenNational Heart, Lung, and Blood InstituteUniversity of Texas MD Anderson Cancer CenterU.S. Department of Health and Human Services
KeywordsMedicineSurvivorship curveTransplantationHematopoietic cellIntensive care medicineDiseaseMEDLINEHematopoietic stem cell transplantationPediatricsFamily medicineStem cellCancerInternal medicineHaematopoiesis

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.089
GPT teacher head0.390
Teacher spread0.300 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations12
Published2024
Admission routes1
Has abstractno

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