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2024
Journal article
Extinction risk predictions for the world's flowering plants to support their conservation.
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2019
Abstract
Addressing Uncertainties in Machine Learning Predictions of Conservation Status.
Extinction risk assessments are increasingly important to many stakeholders (Bennun et al. 2017) but there remain large gaps in our knowledge about the status of many species. The IUCN Red List of Threatened Species (IUCN 2019, hereafter Red List) is the most comprehensive assessment of extinction risk. However, it includes...Walker, Barnaby ; Leão, Tarciso ; Bachman, Steven ; Lucas, Eve ; Nic Lughadha, Eimear
Conservation assessment, Machine learning, Natural history collections, Uncertainty, and IUCN Red List
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2021
Journal article
Uncertainty in Divergence Time Estimation.
Understanding and representing uncertainty is crucial in academic research because it enables studies to build on the conclusions of previous studies, leading to robust advances in a particular field. Here, we evaluate the nature of uncertainty and the manner by which it is represented in divergence time estimation, a field...Carruthers, Tom ; Scotland, Robert W
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2022
Journal article
First person – Tom Carruthers.
First Person is a series of interviews with the first authors of a selection of papers published in Biology Open, helping early-career researchers promote themselves alongside their papers. Tom Carruthers is first author on ‘ exTREEmaTIME: a method for incorporating uncertainty into divergence time estimates’, published in BiO. Tom conducted...Carruthers, Tom
Carruthers, Tom, Biography, Assumptions, Early-career researchers, Uncertainty, Science careers, and Divergence times
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2022
Journal article
exTREEmaTIME: a method for incorporating uncertainty into divergence time estimates.
We present a method of divergence time estimation (exTREEmaTIME) that aims to effectively account for uncertainty in divergence time estimates. The method requires a minimal set of assumptions, and, based on these assumptions, estimates the oldest possible divergence times and youngest possible divergence times that are consistent with the assumptions....Carruthers, Tom ; Scotland, Robert W.