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Record W2891619067 · doi:10.1183/13993003.00897-2018

Safety of biweekly α<sub>1</sub>-antitrypsin treatment in the RAPID programme

2018· letter· en· W2891619067 on OpenAlexaff
Timm Greulich, J Chlumský, Marion Wencker, Oliver Vit, Michael Fries, Thomas Chung, Amgad Shebl, Claus Vogelmeier, Kenneth R. Chapman, Noel G. McElvaney

Bibliographic record

VenueEuropean Respiratory Journal · 2018
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsUniversity of Toronto
FundersCSL Behring
KeywordsTrilogyElastinLungMedicineProteolytic enzymesInternal medicinePathologyEnzymeGastroenterologyChemistryBiochemistryArt

Abstract

fetched live from OpenAlex

α1-antitrypsin (α1-AT) deficiency is a hereditary disorder characterised by an abnormally low concentration of functional α1-AT in blood and tissues [1]. The primary role of α1-AT is to protect elastin-containing tissues, most notably the lung, against the destructive activity of proteolytic enzymes [2]. Patients with severe α1-AT deficiency present with serum α1-AT concentrations <11 μM and are prone to destruction of the lung tissue, often developing respiratory symptoms and emphysema in the fourth or fifth decade of life [3, 4]. Administration of 120 mg·kg−1 α1-antitrypsin on a biweekly basis was safe and well tolerated Michael Riley and Barbara Boggetti (Trilogy Writing and Consulting GmbH, Frankfurt, Germany) provided medical writing support on behalf of CSL Behring.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.003

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 head0.027
GPT teacher head0.242
Teacher spread0.215 · 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 designObservational
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

Citations10
Published2018
Admission routes1
Has abstractyes

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