CITATION.cff

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cff-version: 1.2.0
title: Prudent Response Surface Models
message: >-
  If you use this work, please cite it using the   metadata
  from this file.
type: software
authors:
  - given-names: Juniper
    family-names: Tyree
    email: juniper.tyree@helsinki.fi
    affiliation: University of Helsinki
    orcid: 'https://orcid.org/0000-0002-7923-9609'
  - given-names: Michael
    family-names: Boy
    email: michael.boy@helsinki.fi
    orcid: 'https://orcid.org/0000-0002-8107-4524'
    affiliation: 'University of Helsinki, LUT University'
  - given-names: Andreas
    family-names: Rupp
    email: andreas.rupp@lut.fi
    affiliation: LUT University
    orcid: 'https://orcid.org/0000-0001-5527-7187'
  - given-names: Petri
    family-names: Clusius
    email: petri.clusius@helsinki.fi
    orcid: 'https://orcid.org/0000-0003-3121-0775'
    affiliation: University of Helsinki
identifiers:
  - type: doi
    value: 10.5281/zenodo.7938527
    description: The Zenodo release
  - type: url
    value: 'http://urn.fi/URN:NBN:fi:hulib-202305151941'
    description: The HELDA record
  - type: url
    value: >-
      https://github.com/juntyr/prudent-response-surface-models/releases/tag/msc-tcm
    description: The GitHub release
repository-code: 'https://github.com/juntyr/prudent-response-surface-models'
abstract: >-
  Prudent Response Surface Models combine predictions with
  confidence scores and uncertainty levels, allowing their
  use in downstream analysis even for high-uncertainty or
  out-of-distribution inputs.
keywords:
  - SOSAA
  - response surface model
  - machine learning
  - out-of-distribution
  - uncertainty quantification
license: CC-BY-4.0
commit: msc-tcm
version: 1.0.0
date-released: '2023-04-27'