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Integrating Mental Health and Juvenile Justice Outcomes: A Case Study of Model-Agnostic Interpretable Machine Learning.

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Title: Integrating Mental Health and Juvenile Justice Outcomes: A Case Study of Model-Agnostic Interpretable Machine Learning.
Authors: Tremblay, Monica Chiarini1, monica.tremblay@mason.wm.edu, Castellanos, Arturo1, arturo.castellanosbueso@mason.wm.edu, Kohli, Rajiv1, rajiv.kohli@mason.wm.edu, Espinosa, Erin2, eespinosa@evidentchange.org, Roderick, Thomas3, tom@flamelit.tech
Source: INFORMS Journal on Computing; Jul/Aug2026, Vol. 38 Issue 4, p1045-1057, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 196166254
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Integrating Mental Health and Juvenile Justice Outcomes: A Case Study of Model-Agnostic Interpretable Machine Learning.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=196166254
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1287/ijoc.2024.0663
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1045
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      – TitleFull: Integrating Mental Health and Juvenile Justice Outcomes: A Case Study of Model-Agnostic Interpretable Machine Learning.
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            NameFull: Tremblay, Monica Chiarini
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            NameFull: Castellanos, Arturo
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            NameFull: Kohli, Rajiv
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            – D: 01
              M: 07
              Text: Jul/Aug2026
              Type: published
              Y: 2026
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              Value: 38
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            – TitleFull: INFORMS Journal on Computing
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