---
res:
  bibo_abstract:
  - "<jats:title>ABSTRACT:</jats:title>\r\n                  <jats:p>\r\n                    Metamodels
    are replacing costly validation simulations and experiments in clinch joint design.
    If materials or conditions change, existing metamodels may no longer be reliable.
    This paper presents an approach that uses model uncertainty, the Coefficient of
    Prognosis and the R\r\n                    <jats:sup>2</jats:sup>\r\n                    score
    to decide if a model should be reused or recalibrated, or if fine-tuning is needed.
    Two case studies show that the framework can provide sufficient recommendations
    and reused, recalibrated and fine-tuned models can match new models while reducing
    simulation and training effort.\r\n                  </jats:p>@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jonathan-Markus
      foaf_name: Einwag, Jonathan-Markus
      foaf_surname: Einwag
  - foaf_Person:
      foaf_givenName: Sandro J.
      foaf_name: Wartzack, Sandro J.
      foaf_surname: Wartzack
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Goetz, Stefan
      foaf_surname: Goetz
  bibo_doi: 10.1017/pds.2026.10411
  bibo_volume: 6
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2732-527X
  dct_language: eng
  dct_publisher: Cambridge University Press (CUP)@
  dct_title: 'Decide-Adapt-Reuse: a decision framework to reuse or adapt metamodels
    for new clinch joint designs@'
...