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Summary
An end user,
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for
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example
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an
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EU
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policy
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expert,
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looking
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at
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results
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calculated
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by
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a
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chain
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of
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models
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for
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different
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policy
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scenarios
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requires
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information
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about
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the
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uncertainty
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of
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the
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data.
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This
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uncertainty
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is
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some
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kind
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of
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"total"
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of
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the
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measurements
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and
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models
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used
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in
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the
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model
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chain.
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The
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uncertainty
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information
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is
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essential
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to
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the
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end
...
user
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for
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evaluating
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the
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results.
How to address in Version 1
I don't think OpenMI 1.0 provides any mechanisms for indicating data uncertainty and how it affects the end results of linked models. Guess it is up to the person using the system to decide.
Drawbacks
List all possible problems that you may expect in version 1.x of OpenMI.
How to address in Version 2
Present ideas in any form how you'd expect it to work in the OpenMI 2.0
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