A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports is a research paper published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 1.7. It has been cited 42 times, with 43 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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
0.564
From this paper's citation signal
Citation Network Contribution
1.1
From 29 citing papers with measurable signal
National Institutes of Health
Grant: P30CA082103
FDA
Grant: U01FD005978
NIH
Grant: UL1 TR001872
National Institutes of Health
Grant: 5UL1TR001872-02
Clinical and Translational Science Institute
National Institutes of Health
Grant: 1U01FD005978-01
UCSF-Stanford Center of Excellence in Regulatory Science
National Institutes of Health
Grant: 3P30CA082103-21S2
Cancer Center Support Grant
UCSF–Stanford Center of Excellence in Regulatory Sciences and Innovation
National Cancer Institute
UCSF-Stanford Center of Excellence in Regulatory Sciences and Innovation
FWCI
0.00
Citation Percentile
0.0%
Fields of Study
MeSH Terms
Keywords