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Record W4306774464 · doi:10.1016/j.ymthe.2022.09.020

First conditional marketing authorization approval in the European Union for hemophilia “A” gene therapy

2022· editorial· en· W4306774464 on OpenAlexaff
Thierry VandenDriessche, Steven W. Pipe, Glenn F. Pierce, Radosław Kaczmarek

Bibliographic record

VenueMolecular Therapy · 2022
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsCanadian Hemophilia Society
Fundersnot available
KeywordsFactor IXMedicineHaemophiliaGenetic enhancementClotting factorHaemophilia BHaemophilia AMarketing authorizationCoagulationInternal medicinePediatricsBioinformaticsGeneGeneticsBiology

Abstract

fetched live from OpenAlex

Hemophilia A and B are bleeding disorders caused by defects in the coagulation factor VIII (FVIII) and FIX genes, respectively. If left untreated, persons with hemophilia are at risk for life-threatening bleeding episodes and repeated bleeding into joints, leading to crippling arthropathy. Current standard of care aims to prevent bleeding and preserve joint health through regular prophylaxis with clotting factor concentrates or, in the case of hemophilia A, substitution therapy with an FVIII mimetic.

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)0.021
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.032
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0060.003
Open science0.0030.001
Research integrity0.0320.027
Insufficient payload (model declined to judge)0.0110.007

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 head0.016
GPT teacher head0.288
Teacher spread0.273 · 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
GenreEditorial

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

Citations31
Published2022
Admission routes1
Has abstractno

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