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Record W4402149322 · doi:10.1038/s41375-024-02385-6

Correction: Dose modification dynamics of ponatinib in patients with chronic-phase chronic myeloid leukemia (CP-CML) from the PACE and OPTIC trials

2024· erratum· en· W4402149322 on OpenAlexaff
Elias Jabbour, Jane F. Apperley, Jörge E. Cortes, Delphine Réa, Michael W. Deininger, Elisabetta Abruzzese, Charles Chuah, Daniel J. DeAngelo, Andreas Hochhaus, Jeffrey H. Lipton, Michael J. Mauro, Franck E. Nicolini, Javier Pinilla‐Ibarz, Gianantonio Rosti, Philippe Rousselot, Neil P. Shah, Moshe Talpaz, Alexander Vorog, Xiaowei Ren, Hagop M. Kantarjian

Bibliographic record

VenueLeukemia · 2024
Typeerratum
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsPonatinibMyeloid leukemiaMedicineChronic myeloid leukaemiaOncologyInternal medicineNilotinibImatinib

Abstract

fetched live from OpenAlex

Following publication of the article, the authors realized that several data points in Figure S3B and the accompanying manuscript text were incorrect. This oversight has been addressed and the corrected figure has been added. 1. Supplementary information , Figure S3B: The percentage of patients with grade 3-4 TE-AOEs from the PACE CP-CML group was inaccurately rounded to 12%; the correct percentage is 11%. In addition, we have corrected the error in the manuscript on page 477 in the Safety outcomes section. The revised statement is below: Grade 3-4 TE-AOEs were 11% in PACE and 5% in OPTIC, and serious TE-AOEs were 15% in PACE and 4% in OPTIC (Fig. S3 ). 2. Supplementary information , Figure S3B: The number of patients with serious TE-AOEs in the PACE CP-CML group was cited incorrectly as 9; the correct number of patients is 40.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.020
GPT teacher head0.294
Teacher spread0.274 · 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 designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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