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Producing knowledge by admitting ignorance: Enhancing data quality through an “I don’t know” option in citizen science

The “noisy labeler problem” in crowdsourced data has attracted great attention in recent years, with important ramifications in citizen science, where non-experts must produce high-quality data. Particularly relevant to citizen science is dynamic task allocation, in which the level of agreement amon...

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Detalles Bibliográficos
Autores principales:	Torre, Marina, Nakayama, Shinnosuke, Tolbert, Tyrone J., Porfiri, Maurizio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392254/ https://www.ncbi.nlm.nih.gov/pubmed/30811452 http://dx.doi.org/10.1371/journal.pone.0211907

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