Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions

The original version of the article contained an error in the funding section and name of an author. The correction funding note should be: This project was funded by the Economic & Social Research Council grant (ESRC Reference: ES/L007223/1) titled ‘University Consortium for Evidence-Based Crim...

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Bibliographic Details
Main Authors:	Matthew Manning, Gabriel T. W. Wong, Timothy Graham, Thilina Ranbaduge, Peter Christen, Kerry Taylor, Richard Wortley, Toni Makkai, Pierre Skorich
Format:	Article
Language:	English
Published:	BMC 2018-11-01
Series:	Crime Science
Online Access:	http://link.springer.com/article/10.1186/s40163-018-0091-7

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spelling	doaj-980e7919b67247448b25efb7902051142020-11-25T02:24:28ZengBMCCrime Science2193-76802018-11-01711110.1186/s40163-018-0091-7Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventionsMatthew Manning0Gabriel T. W. Wong1Timothy Graham2Thilina Ranbaduge3Peter Christen4Kerry Taylor5Richard Wortley6Toni Makkai7Pierre Skorich8ANU Centre for Social Research and Methods, Australian National UniversityANU Centre for Social Research and Methods, Australian National UniversityResearch School of Computer Science, Australian National UniversityResearch School of Computer Science, Australian National UniversityResearch School of Computer Science, Australian National UniversityResearch School of Computer Science, Australian National UniversityJill Dando Institute of Security and Crime Science, University College LondonANU Centre for Social Research and Methods, Australian National UniversityAustralian Public ServiceThe original version of the article contained an error in the funding section and name of an author. The correction funding note should be: This project was funded by the Economic & Social Research Council grant (ESRC Reference: ES/L007223/1) titled ‘University Consortium for Evidence-Based Crime Reduction’, the Australian National University’s Cross College Grant and the Jill Dando Institute of Security and Crime Science.http://link.springer.com/article/10.1186/s40163-018-0091-7
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Matthew Manning Gabriel T. W. Wong Timothy Graham Thilina Ranbaduge Peter Christen Kerry Taylor Richard Wortley Toni Makkai Pierre Skorich
spellingShingle	Matthew Manning Gabriel T. W. Wong Timothy Graham Thilina Ranbaduge Peter Christen Kerry Taylor Richard Wortley Toni Makkai Pierre Skorich Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions Crime Science
author_facet	Matthew Manning Gabriel T. W. Wong Timothy Graham Thilina Ranbaduge Peter Christen Kerry Taylor Richard Wortley Toni Makkai Pierre Skorich
author_sort	Matthew Manning
title	Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
title_short	Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
title_full	Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
title_fullStr	Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
title_full_unstemmed	Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
title_sort	correction to: towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions
publisher	BMC
series	Crime Science
issn	2193-7680
publishDate	2018-11-01
description	The original version of the article contained an error in the funding section and name of an author. The correction funding note should be: This project was funded by the Economic & Social Research Council grant (ESRC Reference: ES/L007223/1) titled ‘University Consortium for Evidence-Based Crime Reduction’, the Australian National University’s Cross College Grant and the Jill Dando Institute of Security and Crime Science.
url	http://link.springer.com/article/10.1186/s40163-018-0091-7
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Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions

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