The DOI matches its Crossref record.
New Technologies and Jobs in Europe
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Uncertainty over the impact of genAI on the economy in part reflects a lack of systematic evidence on the frequency and intensity of genAI adoption.
“Uncertainty over the impact of genAI on the economy in part reflects a lack of systematic evidence on the frequency and intensity of genAI adoption, and most studies pre-date the release of widely accessible genAI tools (Acemoglu, Autor, Hazell, and Restrepo, 2022; Albanesi et al., 2024; Gathmann, Grimm, and Winkler, 2024).”
From The Rapid Adoption of Generative AI (2024) · cites this paper as Albanesi et al., 2024
Citations
Cited by
Sorted by citations
The Rapid Adoption of Generative AI
Bick, A., Blandin, A., & Deming, D. (2024) · NBER Working Paper · doi:10.3386/w32966 · Cited by 200
Metadata
- Authors
- Albanesi, S., Dias da Silva, A., Jimeno, J. F., Lamo, A., & Wabitsch, A.
- Publisher
- Federal Reserve Bank of Minneapolis
- Published
- 2024-11-18
- Cited by
- 1
- References
- 0
- Type
- Preprint
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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