Two DeepMind papers were published in the same issue of Nature in January 2020.
Unresolvable The public record could not settle it.
Factual: Statements about the present or the past, checked against the record: did they hold up?
The second judge would not resolve this claim; the verdict shown is the first judge's.
Said for an organisation they lead or work for; it counts on both records.
What would count as true or false
True: two papers by DeepMind authors appeared in the same issue of Nature around January 2020 (for example the AlphaFold/protein structure paper and the dopamine/distributional RL paper in the 16 January 2020 issue, vol. 577). Mostly true: two DeepMind papers did appear in one issue, but the issue date is slightly off from January 2020. Mostly false: the two papers appeared in Nature at about the same time but in different issues (online only versus print). False: Nature did not publish two DeepMind papers in any single issue at that time.
Set before the research began.
Evidence (4)
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E1 Nature - Mapping the future Nature (Springer Nature) · 30 January 2020
“Volume 577 Issue 7792, 30 January 2020”
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E2 Nature - Mapping the future Nature (Springer Nature) · 30 January 2020
“In this issue, Will Dabney and his colleagues suggest that the picture is more complex.”
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E3 Improved protein structure prediction using potentials from deep learning - Nature Nature (Springer Nature) · 15 January 2020
“Senior, A.W., Evans, R., Jumper, J. et al. Improved protein structure prediction using potentials from deep learning. Nature 577, 706–710 (2020).”
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E4 A distributional code for value in dopamine-based reinforcement learning - Nature Nature (Springer Nature) · 15 January 2020
“Dabney, W., Kurth-Nelson, Z., Uchida, N. et al. A distributional code for value in dopamine-based reinforcement learning. Nature 577, 671–675 (2020).”
Reasoning
The evidence shows that issue 7792 of volume 577 (30 January 2020) includes work by Will Dabney and colleagues [E1][E2], and that both papers are in volume 577 at pages 671–675 and 706–710 [E3][E4]. No evidence item shows that the Senior et al. protein structure paper was in the same issue, so the evidence does not settle whether the two papers shared one issue.
Cite this claim
Demis Hassabis, “Two DeepMind papers were published in the same issue of Nature in January 2020.” (said 15 January 2020). Verdict: unresolvable. Reliability API, claim c_3016eac6c0a4, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_3016eac6c0a4
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Demis Hassabis
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Mostly true
“what’s important about them is their 3D structure.”
A protein's 3D structure is what determines, or partially determines, its function.
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Resolved true
“So over 3 million scientists are now using AlphaFold.”
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Resolved true
“Only about 10% of drugs actually get through all the clinical stages.”
Only about 10% of drugs get through all the clinical stages.
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Mostly true
“The AlphaFold Server is empowering non-commercial researchers globally to harness this technology, accelerating their ability to formulate and test new hypotheses.”
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Mostly true
“Our AlphaProteo model can design novel, high-strength protein binders that target diverse molecules – including those associated with cancer and diabetes.”
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