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@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix orcid: <https://orcid.org/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

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    <https://schema.org/articleBody> """Yes, you get what you optimize/incentivize for.

Sometimes quantitative metrics are needed and helpful though. But for these cases there is quite a simple recipe: Base these metrics on open data, use a bunch of them for different contexts, and reconsider and adjust them regularly. Like that any kind of long-term gaming of these metrics can be canceled out by future versions of the metrics, and thereby the incentive to game them in the first place is (mostly) gone.""";
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