MétaCan
Menu
Back to cohort
Record W2921454700 · doi:10.1055/s-0039-1678099

Safety and tolerability of nintedanib in patients with idiopathic pulmonary fibrosis (IPF): pooled data from six clinical trials

2019· article· en· W2921454700 on OpenAlex
D. Koschel, Lisa Lancaster, Paul Hernandez, Yoshikazu Inoue, Daniel Wachtlin, Lazaro Loaiza, CS Conoscenti, Manuel Quaresma, Susanne Stowasser, Luca Richeldi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePneumologie · 2019
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsNintedanibTolerabilityMedicineIdiopathic pulmonary fibrosisClinical trialAdverse effectInternal medicineVital capacityIntensive care medicineLungLung function

Abstract

fetched live from OpenAlex

Rationale Nintedanib is an approved treatment for IPF that slows disease progression by reducing the rate of decline in forced vital capacity. To characterize the safety and tolerability of nintedanib, we analyzed adverse events (AEs) based on pooled data from six clinical IPF trials.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.754

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.071
GPT teacher head0.355
Teacher spread0.285 · 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