Minimizing and quantifying uncertainty in AI-informed decisions: Applications in medicine is a research paper published in Proceedings of the National Academy of Sciences (2025). On theSindex it has a DataRank of 0.241. It has been cited 4 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →HHS | NIH
Grant: R21NS113016
HHS | NIH
Grant: RA37CA230400
HHS | NIH
Grant: U01CA230691
Oncology Core CA
Grant: 06973
Benjamin Baker Endowment
Grant: 80049589
HHS | NIH
Grant: 80057309
HHS | NIH
Grant: 5P50CA062924-22
Access of Therapeutic Agents to Cancer Cells
Federal Government | DHAC | National Health and Medical Research Council
Grant: APP1194970
FWCI
1.72
Citation Percentile
0.9%
Citation Trend
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