Heck more than one. Try "Determining the optimal strategy for reopening schools, the impact of test and trace interventions, and the risk of occurrence of a second COVID-19 epidemic wave in the UK: a modelling study"
https://www.thelancet.com/journals/lanchi/article/PIIS2352-4...
Published August. Based on the Covasim model, paper describing it here:
https://www.medrxiv.org/content/10.1101/2020.05.10.20097469v...
The model takes its IFR data from Verity et al (see table 2), which is about 4x too high because it's taken from Wuhan evacuee data in January. The Verity paper that calculated this had access to a bigger and better dataset, the Diamond Princess cruise ship which they acknowledged they had looked at, and which yielded a lower IFR, but they didn't use it:
https://www.nicholaslewis.org/covid-19-updated-data-implies-...
"The Verity et al. CFR estimates were derived primarily from Chinese data, which reflected non-random testing ... When Verity et al. was prepared, the final death toll was not known. The data available only ran to 5 March 2020, at which point 7 passengers had died."
There's an analysis of the school re-opening paper that explains all this here. It also claims the paper used values for k (over-dispersion) from February, when there were hardly any cases on which to calculate that: https://lockdownsceptics.org/schools-paper/
Here's another paper that used an IFR of 1% in May:
https://www.nicholaslewis.org/did-lockdowns-really-save-3-mi...
And another paper that assumed a 1% IFR in June:
https://github.com/ptti/ptti/blob/master/docs/PTTI-Covid-19-...
Analysis: https://lockdownsceptics.org/new-ucl-paper-on-contact-tracin...
That one didn't even bother to give a citation for its source, just assumed a value that was 4x too high.
Here are some current, reasonably up to date and sourced IFR estimating papers: https://swprs.org/studies-on-covid-19-lethality/
Epidemiologists know IFR rates fall over time because they always do. Yet they continued to use the earliest calculated value they could find, based on a tiny dataset that wasn't even the best available, because it gives the highest value and that lets them make the most dramatic results. This is a systematically untrustworthy field, they literally do not care about their own reliability at all.