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Predictability-Computability-Stability workflow for veridical data science in the age of artificial intelligence.

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Title: Predictability-Computability-Stability workflow for veridical data science in the age of artificial intelligence.
Authors: Rewolinski ZT; Department of Statistics, UC Berkeley, Berkeley, CA, USA., Yu B; Department of Statistics, UC Berkeley, Berkeley, CA, USA.; Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CAUSA.
Source: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences [Philos Trans A Math Phys Eng Sci] 2026 May 28; Vol. 384 (2321).
Publication Type: Journal Article
Journal Info: Publisher: The Royal Society Country of Publication: England NLM ID: 101133385 Publication Model: Print Cited Medium: Internet ISSN: 1471-2962 (Electronic) Linking ISSN: 1364503X NLM ISO Abbreviation: Philos Trans A Math Phys Eng Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22The+Royal+Society%22">The Royal Society </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101133385 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2962 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221364503X%22">1364503X </searchLink><i>NLM ISO Abbreviation: </i>Philos Trans A Math Phys Eng Sci <i>Subsets: </i>MEDLINE
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        Value: 10.1098/rsta.2024.0605
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      – TitleFull: Predictability-Computability-Stability workflow for veridical data science in the age of artificial intelligence.
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              Text: 2026 May 28
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