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Record W3177359439 · doi:10.1002/hon.50_2880

UNFAVORABLE GENETICS IMPACT MRD RESPONSE TO VENETOCLAX+RITUXIMAB RETREATMENT IN RELAPSED OR REFRACTORY CHRONIC LYMPHOCYTIC LEUKEMIA (R/R CLL): PHASE 3 MURANO SUBSTUDY

2021· article· en· W3177359439 on OpenAlexaff
Jane Wu, John F. Seymour, Barbara Eichhorst, Peter Hillmen, Thomas J. Kipps, A. W. Langerak, Carolyn Owen, Julie Dubois, Clemens Mellink, Anne-Marie Van Der Kevie-Kersemaekers, Brenda Chyla, Yanwen Jiang, Michelle Boyer, Maria Thadani‐Mulero, Marcus Lefebure, Arnon P. Kater

Bibliographic record

VenueHematological Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineBendamustineVenetoclaxRituximabInternal medicineChronic lymphocytic leukemiaOncologyGastroenterologyMinimal residual diseaseclone (Java method)Refractory (planetary science)Progression-free survivalLeukemiaLymphomaChemotherapyGeneticsBiology

Abstract

fetched live from OpenAlex

clonality.Higher prevalence of genetic risk factors negatively impacted MRD response to re-tx at the R-EOCT.Deep initial response with favorable BL-2 characteristics predict uMRD attainment with VenR re-tx.

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)0.002
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.427
Teacher spread0.369 · 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 designNon-randomized trial
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

Citations3
Published2021
Admission routes1
Has abstractyes

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