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Record W4389224369 · doi:10.1111/bjh.19186

The management of myelofibrosis: A British Society for Haematology Guideline

2023· article· en· W4389224369 on OpenAlexfundno aff
Donal P. McLornan, Bethan Psaila, Joanne Ewing, Andrew J. Innes, Siamak Arami, Jessica Brady, Nauman M. Butt, Catherine Cargo, Nicholas C.P. Cross, Sebastian Francis, Rebecca Frewin, Mamta Garg, Anna L. Godfrey, Anna Green, Alesia Khan, Steven Knapper, Jonathan Lambert, Andrew McGregor, Mary Frances McMullin, Jyoti Nangalia, Pratap Neelakantan, Claire Woodley, Adam J. Mead, Tim C. P. Somervaille, Claire Harrison

Bibliographic record

VenueBritish Journal of Haematology · 2023
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsnot available
FundersQueen's UniversityQueen's University BelfastWellcome TrustAcademy of Medical SciencesEuropean Hematology AssociationNational Institute for Health and Care ResearchCancer Research UK
KeywordsMyelofibrosisGuidelineHematologyMedicineInternal medicineIntensive care medicineFamily medicinePathology

Abstract

fetched live from OpenAlex

This document represents an update of the British Society for Haematology guideline on Myelofibrosis first published in 2012 and updated in 2015. 1 These guidelines aim to provide healthcare professionals with clear guidance on stratified management for primary myelofibrosis (PMF), as well as postpolycythaemia myelofibrosis (post-PV MF) and postessential thrombocythaemia myelofibrosis (post-ET MF).A separate BSH guideline covers the diagnosis and prognostic evaluation of myelofibrosis and is published alongside this guideline. M ETHODOLOGY

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)0.009
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0090.008

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 head0.019
GPT teacher head0.305
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations15
Published2023
Admission routes1
Has abstractyes

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