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Record W4390009684 · doi:10.1186/s13223-023-00845-9

13th C1-inhibitor deficiency and angioedema workshop—2023

2023· article· en· W4390009684 on OpenAlexvenueno aff
I-

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2023
Typearticle
Languageen
FieldMedicine
TopicCoagulation, Bradykinin, Polyphosphates, and Angioedema
Canadian institutionsnot available
Fundersnot available
KeywordsAngioedemaMedicineDermatology

Abstract

fetched live from OpenAlex

1) :I-03The vision of modifying the human genome to cure disease has been pursued since the 1980s.It is only recently however, that the fruits of these efforts started to reach clinical practice and transform patient lives.Among the few gene therapies that have obtained FDA approval are HEMGENIX for the treatment of adults with congenital Factor IX deficiency (Hemophilia B), LUXTURNA for the treatment of adults with retinal dystrophy caused by biallelic RPE65 mutations, ZYNGEGLO for the treatment of adults with beta-thalasemia, and ZOLGENSMA for treatment of children less than 2 years with spinal muscular atrophy caused by biallelic SMN1 mutations.These gene therapy approaches O-01 The Bradykinin cascade is activated in patients with Alzheimer's disease and is activated in vitro by aggregated Aβ protein

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.040
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0400.026

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 head0.032
GPT teacher head0.328
Teacher spread0.296 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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