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Record W3086465642 · doi:10.3324/haematol.2021.279046

Impact of cytogenetic abnormalities on outcomes of adult Philadelphia-negative acute lymphoblastic leukemia after allogeneic hematopoietic stem cell transplantation: a study by the Acute Leukemia Working Committee of the Center for International Blood and Marrow Transplant Research

2021· erratum· en· W3086465642 on OpenAlexaff
Aleksandr Lazaryan, Michelle Dolan, Mei‐Jie Zhang, Hailin Wang, Mohamed A. Kharfan‐Dabaja, David I. Marks, Nelli Bejanyan, Edward A. Copelan, Navneet S. Majhail, Edmund K. Waller, Nelson J. Chao, Tim Prestidge, Taiga Nishihori, Partow Kebriaei, Yoshihiro Inamoto, Betty K. Hamilton, Shahrukh K. Hashmi, Rammurti T. Kamble, Ulrike Bacher, Gerhard Hildebrandt, Patrick J. Stiff, Joseph P. McGuirk, Ibrahim Aldoss, Amer Beitinjaneh, Lori Muffly, Ravi Vij, Richard F. Olsson, Michael Byrne, Kirk R. Schultz, Mahmoud Aljurf, Matthew D. Seftel, Mary Lynn Savoie, Bipin N. Savani, Leo F. Verdonck, Mitchell S. Cairo, Nasheed Hossain, Vijaya Raj Bhatt, Haydar Frangoul, Hisham Abdel‐Azim, Monzr Al Malki, Reinhold Munker, David A. Rizzieri, Nandita Khera, Ryotaro Nakamura, Olle Ringdén, Marjolein van der Poel, Hemant S. Murthy, Hongtao Liu, Shahram Mori, Satiro De Oliveira, Javier Bolaños‐Meade, Mahmoud Elsawy, Pere Barba, Sunita Nathan, Biju George, Attaphol Pawarode, Michael R. Grunwald, Vaibhav Agrawal, Youjin Wang, Amer Assal, Paul Castillo, Yachiyo Kuwatsuka, Sachiko Seo, Celalettin Üstün, Ioannis Politikos, Hillard M. Lazarus, Wael Saber, Brenda M. Sandmaier, Marcos de Lima, Mark R. Litzow, Veronika Bachanová, Daniel J. Weisdorf

Bibliographic record

VenueHaematologica · 2021
Typeerratum
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsDalhousie UniversityQueen Elizabeth II Health Sciences CentreCancerCare ManitobaBC Children's HospitalUniversity of British Columbia
FundersNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteU.S. Department of DefenseNational Heart, Lung, and Blood InstituteUniversity of MinnesotaU.S. NavyHealth Resources and Services Administration
KeywordsHazard ratioInternal medicineTransplantationMedicineMonosomyCytogeneticsHematopoietic stem cell transplantationLeukemiaOncologyInternational Prognostic Scoring SystemAcute lymphocytic leukemiaMyelodysplastic syndromesAcute leukemiaKaryotypeBone marrowConfidence intervalBiologyLymphoblastic LeukemiaGenetics

Abstract

fetched live from OpenAlex

The authors inadvertently included grant numbers OT3HL147741 & U24CA233032, which are grant-specific. This was an oversight on the authors’ part as these grants did not support the research in this publication.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.032
GPT teacher head0.320
Teacher spread0.288 · 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 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

Citations7
Published2021
Admission routes1
Has abstractyes

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