The reviewed record of science sign in
Pith

Integrity report for Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2110.06866 · pith:2021:LVCUGLSXZE2U52HHYRSNDSL5MH

0Critical
0Advisory
0Detectors run
Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/LVCUGLSX/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.