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Record W4306941118 · doi:10.1038/s41375-022-01724-9

Finding consistency in classifications of myeloid neoplasms: a perspective on behalf of the International Workshop for Myelodysplastic Syndromes

2022· letter· en· W4306941118 on OpenAlexaff
Amer M. Zeidan, Jan Philipp Bewersdorf, Rena Buckstein, Mikkael A. Sekeres, David P. Steensma, Uwe Platzbecker, Sanam Loghavi, Jacqueline Boultwood, Rafael Bejar, John M. Bennett, Uma Borate, Andrew M. Brunner, Hetty E. Carraway, Jane E. Churpek, Naval Daver, Matteo Giovanni Della Porta, Amy E. DeZern, Fabio Efficace, Pierre Fenaux, María E. Figueroa, Peter L. Greenberg, Elizabeth A. Griffiths, Stephanie Halene, Robert P. Hasserjian, Christopher S. Hourigan, Nina Kim, Tae Kon Kim, Rami S. Komrokji, Vijay Kutchroo, Alan F. List, Richard F. Little, Ravindra Majeti, Aziz Nazha, Stephen D. Nimer, Olatoyosi Odenike, Eric Padron, Mrinal M. Patnaik, Gail J. Roboz, David A. Sallman, Guillermo Sanz, Maximilian Stahl, Daniel T. Starczynowski, Justin Taylor, Zhuoer Xie, Mina L. Xu, Michael R. Savona, Andrew H. Wei, Omar Abdel‐Wahab, Valeria Santini

Bibliographic record

VenueLeukemia · 2022
Typeletter
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
FundersTakeda OncologyGenentechNational Institutes of HealthAstellas PharmaPfizerIncyteCTI Biopharmabluebird bioAgios PharmaceuticalsSyndax PharmaceuticalsNational Heart, Lung, and Blood InstituteEdward P. Evans FoundationAcceleronAstex PharmaceuticalsDaiichi-SankyoMacroGenicsCelldex TherapeuticsJazz PharmaceuticalsLeukemia and Lymphoma SocietyApellis PharmaceuticalsAlexion PharmaceuticalsDaiichi Sankyo EuropeServierAplastic Anemia and MDS International FoundationGilead SciencesBioCrystCelgeneBristol-Myers SquibbAstraZenecaCardinal HealthAmgenAmerican Cancer Society
KeywordsMyelodysplastic syndromesConsistency (knowledge bases)MedicineMyeloidPerspective (graphical)OncologyMyeloid leukemiaInternal medicineImmunologyComputer scienceBone marrowArtificial intelligence

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)0.000
metaresearch head score (Gemma)0.003
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.328
Teacher spread0.276 · 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
GenreCommentary

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

Citations28
Published2022
Admission routes1
Has abstractno

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