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Record W4415543535 · doi:10.1111/hae.70113

The WFH Guidelines for the Management of Haemophilia: AAV Gene Therapy, 2025

2025· article· en· W4415543535 on OpenAlexaff
Glenn F. Pierce, Margareth C. Ozelo, Johnny Mahlangu, Amy L. Dunn, M. Beijlevelt, Rose Bender, Manuel Carção, Donna Coffin, Enrico Ferri Grazzi, Graham R. Foster, Julie Frantsve‐Hawley, Alfonso Iorio, Shannon Jackson, Radosław Kaczmarek, Gwendolyn E. Kaeser, Barbara A. Konkle, Magdalena Lewandowska, Wolfgang Miesbach, Brian O’Mahony, Steven W. Pipe, Ulrike M. Reiss, Amy K. Wilson, Emna Gouider

Bibliographic record

VenueHaemophilia · 2025
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsSt. Paul's HospitalMcMaster UniversityImpactUniversity of TorontoSickKids FoundationHospital for Sick ChildrenCanadian Hemophilia Society
FundersSpark TherapeuticsVoyager TherapeuticsSwedish Orphan BiovitrumCSL BehringSt. Jude Children's Research HospitalRegeneron PharmaceuticalsNovo NordiskSanofiChugai PharmaceuticalPfizer
KeywordsHaemophiliaClinical trialHealth careMEDLINEGuidelineStakeholderGenetic enhancement

Abstract

fetched live from OpenAlex

Checklist for Healthcare Professionals).

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)0.007
metaresearch head score (Gemma)0.020
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 score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.003
Science and technology studies0.0010.002
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0170.019

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 head0.120
GPT teacher head0.415
Teacher spread0.294 · 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

Citations11
Published2025
Admission routes1
Has abstractyes

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