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024 7 _ |a 10.1080/10619127.2020.1752092
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024 7 _ |a 1050-6896
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024 7 _ |a 1061-9127
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024 7 _ |a 1931-7336
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024 7 _ |a 2128/26736
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037 _ _ |a FZJ-2021-00165
082 _ _ |a 530
100 1 _ |a Meissner, Ulf-G.
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245 _ _ |a Precision Predictions
260 _ _ |a London [u.a.]
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520 _ _ |a First, I should define what is meant by a precision prediction: A prediction is considered precise if it has a small (relative) theoretical uncertainty. This, however, does not imply that it agrees with an experiment. Also, the mentioned small uncertainty can be best quantified if we have an underlying counting rule based on some small parameter. Needless to say, a prediction without uncertainty makes little sense. Finally, in what follows I will mostly consider the interplay of precision predictions with the corresponding precise experiments.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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536 _ _ |a DFG project 196253076 - TRR 110: Symmetrien und Strukturbildung in der Quantenchromodynamik (196253076)
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536 _ _ |a Nuclear Lattice Simulations (jara0015_20200501)
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588 _ _ |a Dataset connected to CrossRef
773 _ _ |a 10.1080/10619127.2020.1752092
|g Vol. 30, no. 2, p. 17 - 20
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856 4 _ |u https://juser.fz-juelich.de/record/889260/files/2001.05213.pdf
|y Published on 2020-07-20. Available in OpenAccess from 2021-07-20.
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920 1 _ |0 I:(DE-Juel1)IAS-4-20090406
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