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Predicting reliability through structured expert elicitation with the repliCATS (Collaborative Assessments for Trustworthy Science) process.
Fraser, Hannah; Bush, Martin; Wintle, Bonnie C; Mody, Fallon; Smith, Eden T; Hanea, Anca M; Gould, Elliot; Hemming, Victoria; Hamilton, Daniel G; Rumpff, Libby; Wilkinson, David P; Pearson, Ross; Singleton Thorn, Felix; Ashton, Raquel; Willcox, Aaron; Gray, Charles T; Head, Andrew; Ross, Melissa; Groenewegen, Rebecca; Marcoci, Alexandru; Vercammen, Ans; Parker, Timothy H; Hoekstra, Rink; Nakagawa, Shinichi; Mandel, David R; van Ravenzwaaij, Don; McBride, Marissa; Sinnott, Richard O; Vesk, Peter; Burgman, Mark; Fidler, Fiona.
Afiliação
  • Fraser H; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Bush M; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Wintle BC; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Mody F; Quantitative & Applied Ecology Group, University of Melbourne, Melbourne, Victoria, Australia.
  • Smith ET; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Hanea AM; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Gould E; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Hemming V; Centre of Excellence for Biosecurity Risk Analysis, University of Melbourne, Melbourne, Victoria, Australia.
  • Hamilton DG; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Rumpff L; Quantitative & Applied Ecology Group, University of Melbourne, Melbourne, Victoria, Australia.
  • Wilkinson DP; Centre of Excellence for Biosecurity Risk Analysis, University of Melbourne, Melbourne, Victoria, Australia.
  • Pearson R; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Singleton Thorn F; Martin Conservation Decisions Lab, Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, Canada.
  • Ashton R; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Willcox A; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Gray CT; Quantitative & Applied Ecology Group, University of Melbourne, Melbourne, Victoria, Australia.
  • Head A; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Ross M; Quantitative & Applied Ecology Group, University of Melbourne, Melbourne, Victoria, Australia.
  • Groenewegen R; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Marcoci A; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Vercammen A; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Parker TH; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Hoekstra R; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Nakagawa S; School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Mandel DR; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • van Ravenzwaaij D; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • McBride M; MetaMelb Lab, University of Melbourne, Melbourne, Victoria, Australia.
  • Sinnott RO; Quantitative & Applied Ecology Group, University of Melbourne, Melbourne, Victoria, Australia.
  • Vesk P; Centre for Argument Technology, School of Science and Engineering, University of Dundee, Dundee, United Kingdom.
  • Burgman M; Centre for Environmental Policy, Imperial College London, London, United Kingdom.
  • Fidler F; School of Communication and Arts, Faculty of Humanities and Social Sciences, The University of Queensland, Brisbane, Australia.
PLoS One ; 18(1): e0274429, 2023.
Article em En | MEDLINE | ID: mdl-36701303
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Ciências do Comportamento / Confiabilidade dos Dados Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS One Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Ciências do Comportamento / Confiabilidade dos Dados Tipo de estudo: Health_economic_evaluation / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS One Ano de publicação: 2023 Tipo de documento: Article